MovieRecommender-checkpoint.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "92206446",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bee318f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies = pd.read_csv('tmdb_5000_movies.csv')\n",
    "credits = pd.read_csv('tmdb_5000_credits.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1dfca568",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
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       "      <th>original_language</th>\n",
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       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>production_countries</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
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       "      <td>237000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
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      "text/plain": [
       "      budget                                             genres  \\\n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                      homepage     id  \\\n",
       "0  http://www.avatarmovie.com/  19995   \n",
       "\n",
       "                                            keywords original_language  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
       "\n",
       "  original_title                                           overview  \\\n",
       "0         Avatar  In the 22nd century, a paraplegic Marine is di...   \n",
       "\n",
       "   popularity                               production_companies  \\\n",
       "0  150.437577  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   \n",
       "\n",
       "                                production_countries release_date     revenue  \\\n",
       "0  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2009-12-10  2787965087   \n",
       "\n",
       "   runtime                                   spoken_languages    status  \\\n",
       "0    162.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
       "\n",
       "                       tagline   title  vote_average  vote_count  \n",
       "0  Enter the World of Pandora.  Avatar           7.2       11800  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d28ec411",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
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      "text/plain": [
       "   movie_id   title                                               cast  \\\n",
       "0     19995  Avatar  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credits.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7eb39f2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...\n",
       "Name: cast, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credits.head(1)[\"cast\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "87f46eb7",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
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       "      <th>tagline</th>\n",
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       "      <th>vote_count</th>\n",
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       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
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       "      <td>...</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
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       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
       "      <td>285</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>en</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
       "      <td>...</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "      <td>285</td>\n",
       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
       "      <td>206647</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>en</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
       "      <td>...</td>\n",
       "      <td>148.0</td>\n",
       "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
       "      <td>Released</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "      <td>206647</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
       "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>http://www.thedarkknightrises.com/</td>\n",
       "      <td>49026</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>en</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
       "      <td>...</td>\n",
       "      <td>165.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>The Legend Ends</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "      <td>49026</td>\n",
       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>260000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://movies.disney.com/john-carter</td>\n",
       "      <td>49529</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
       "      <td>...</td>\n",
       "      <td>132.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>Lost in our world, found in another.</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "      <td>49529</td>\n",
       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
       "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
       "    </tr>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <th>4804</th>\n",
       "      <td>220000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9367</td>\n",
       "      <td>[{\"id\": 5616, \"name\": \"united states\\u2013mexi...</td>\n",
       "      <td>es</td>\n",
       "      <td>El Mariachi</td>\n",
       "      <td>El Mariachi just wants to play his guitar and ...</td>\n",
       "      <td>14.269792</td>\n",
       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}]</td>\n",
       "      <td>...</td>\n",
       "      <td>81.0</td>\n",
       "      <td>[{\"iso_639_1\": \"es\", \"name\": \"Espa\\u00f1ol\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>He didn't come looking for trouble, but troubl...</td>\n",
       "      <td>El Mariachi</td>\n",
       "      <td>6.6</td>\n",
       "      <td>238</td>\n",
       "      <td>9367</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"El Mariachi\", \"c...</td>\n",
       "      <td>[{\"credit_id\": \"52fe44eec3a36847f80b280b\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4805</th>\n",
       "      <td>9000</td>\n",
       "      <td>[{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 10749, \"...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72766</td>\n",
       "      <td>[]</td>\n",
       "      <td>en</td>\n",
       "      <td>Newlyweds</td>\n",
       "      <td>A newlywed couple's honeymoon is upended by th...</td>\n",
       "      <td>0.642552</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td>85.0</td>\n",
       "      <td>[]</td>\n",
       "      <td>Released</td>\n",
       "      <td>A newlywed couple's honeymoon is upended by th...</td>\n",
       "      <td>Newlyweds</td>\n",
       "      <td>5.9</td>\n",
       "      <td>5</td>\n",
       "      <td>72766</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"Buzzy\", \"credit_...</td>\n",
       "      <td>[{\"credit_id\": \"52fe487dc3a368484e0fb013\", \"de...</td>\n",
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       "    <tr>\n",
       "      <th>4806</th>\n",
       "      <td>0</td>\n",
       "      <td>[{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 18, \"nam...</td>\n",
       "      <td>http://www.hallmarkchannel.com/signedsealeddel...</td>\n",
       "      <td>231617</td>\n",
       "      <td>[{\"id\": 248, \"name\": \"date\"}, {\"id\": 699, \"nam...</td>\n",
       "      <td>en</td>\n",
       "      <td>Signed, Sealed, Delivered</td>\n",
       "      <td>\"Signed, Sealed, Delivered\" introduces a dedic...</td>\n",
       "      <td>1.444476</td>\n",
       "      <td>[{\"name\": \"Front Street Pictures\", \"id\": 3958}...</td>\n",
       "      <td>...</td>\n",
       "      <td>120.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Signed, Sealed, Delivered</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6</td>\n",
       "      <td>231617</td>\n",
       "      <td>[{\"cast_id\": 8, \"character\": \"Oliver O\\u2019To...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4df3c3a36847f8275ecf\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4807</th>\n",
       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "      <td>http://shanghaicalling.com/</td>\n",
       "      <td>126186</td>\n",
       "      <td>[]</td>\n",
       "      <td>en</td>\n",
       "      <td>Shanghai Calling</td>\n",
       "      <td>When ambitious New York attorney Sam is sent t...</td>\n",
       "      <td>0.857008</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td>98.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>A New Yorker in Shanghai</td>\n",
       "      <td>Shanghai Calling</td>\n",
       "      <td>5.7</td>\n",
       "      <td>7</td>\n",
       "      <td>126186</td>\n",
       "      <td>[{\"cast_id\": 3, \"character\": \"Sam\", \"credit_id...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4ad9c3a368484e16a36b\", \"de...</td>\n",
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       "    <tr>\n",
       "      <th>4808</th>\n",
       "      <td>0</td>\n",
       "      <td>[{\"id\": 99, \"name\": \"Documentary\"}]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25975</td>\n",
       "      <td>[{\"id\": 1523, \"name\": \"obsession\"}, {\"id\": 224...</td>\n",
       "      <td>en</td>\n",
       "      <td>My Date with Drew</td>\n",
       "      <td>Ever since the second grade when he first saw ...</td>\n",
       "      <td>1.929883</td>\n",
       "      <td>[{\"name\": \"rusty bear entertainment\", \"id\": 87...</td>\n",
       "      <td>...</td>\n",
       "      <td>90.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>NaN</td>\n",
       "      <td>My Date with Drew</td>\n",
       "      <td>6.3</td>\n",
       "      <td>16</td>\n",
       "      <td>25975</td>\n",
       "      <td>[{\"cast_id\": 3, \"character\": \"Herself\", \"credi...</td>\n",
       "      <td>[{\"credit_id\": \"58ce021b9251415a390165d9\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4809 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         budget                                             genres  \\\n",
       "0     237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "1     300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "2     245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "3     250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
       "4     260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "...         ...                                                ...   \n",
       "4804     220000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
       "4805       9000  [{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 10749, \"...   \n",
       "4806          0  [{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 18, \"nam...   \n",
       "4807          0                                                 []   \n",
       "4808          0                [{\"id\": 99, \"name\": \"Documentary\"}]   \n",
       "\n",
       "                                               homepage      id  \\\n",
       "0                           http://www.avatarmovie.com/   19995   \n",
       "1          http://disney.go.com/disneypictures/pirates/     285   \n",
       "2           http://www.sonypictures.com/movies/spectre/  206647   \n",
       "3                    http://www.thedarkknightrises.com/   49026   \n",
       "4                  http://movies.disney.com/john-carter   49529   \n",
       "...                                                 ...     ...   \n",
       "4804                                                NaN    9367   \n",
       "4805                                                NaN   72766   \n",
       "4806  http://www.hallmarkchannel.com/signedsealeddel...  231617   \n",
       "4807                        http://shanghaicalling.com/  126186   \n",
       "4808                                                NaN   25975   \n",
       "\n",
       "                                               keywords original_language  \\\n",
       "0     [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
       "1     [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
       "2     [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
       "3     [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
       "4     [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
       "...                                                 ...               ...   \n",
       "4804  [{\"id\": 5616, \"name\": \"united states\\u2013mexi...                es   \n",
       "4805                                                 []                en   \n",
       "4806  [{\"id\": 248, \"name\": \"date\"}, {\"id\": 699, \"nam...                en   \n",
       "4807                                                 []                en   \n",
       "4808  [{\"id\": 1523, \"name\": \"obsession\"}, {\"id\": 224...                en   \n",
       "\n",
       "                                original_title  \\\n",
       "0                                       Avatar   \n",
       "1     Pirates of the Caribbean: At World's End   \n",
       "2                                      Spectre   \n",
       "3                        The Dark Knight Rises   \n",
       "4                                  John Carter   \n",
       "...                                        ...   \n",
       "4804                               El Mariachi   \n",
       "4805                                 Newlyweds   \n",
       "4806                 Signed, Sealed, Delivered   \n",
       "4807                          Shanghai Calling   \n",
       "4808                         My Date with Drew   \n",
       "\n",
       "                                               overview  popularity  \\\n",
       "0     In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1     Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2     A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "3     Following the death of District Attorney Harve...  112.312950   \n",
       "4     John Carter is a war-weary, former military ca...   43.926995   \n",
       "...                                                 ...         ...   \n",
       "4804  El Mariachi just wants to play his guitar and ...   14.269792   \n",
       "4805  A newlywed couple's honeymoon is upended by th...    0.642552   \n",
       "4806  \"Signed, Sealed, Delivered\" introduces a dedic...    1.444476   \n",
       "4807  When ambitious New York attorney Sam is sent t...    0.857008   \n",
       "4808  Ever since the second grade when he first saw ...    1.929883   \n",
       "\n",
       "                                   production_companies  ... runtime  \\\n",
       "0     [{\"name\": \"Ingenious Film Partners\", \"id\": 289...  ...   162.0   \n",
       "1     [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...  ...   169.0   \n",
       "2     [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...  ...   148.0   \n",
       "3     [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...  ...   165.0   \n",
       "4           [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]  ...   132.0   \n",
       "...                                                 ...  ...     ...   \n",
       "4804           [{\"name\": \"Columbia Pictures\", \"id\": 5}]  ...    81.0   \n",
       "4805                                                 []  ...    85.0   \n",
       "4806  [{\"name\": \"Front Street Pictures\", \"id\": 3958}...  ...   120.0   \n",
       "4807                                                 []  ...    98.0   \n",
       "4808  [{\"name\": \"rusty bear entertainment\", \"id\": 87...  ...    90.0   \n",
       "\n",
       "                                       spoken_languages    status  \\\n",
       "0     [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
       "1              [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "2     [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...  Released   \n",
       "3              [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "4              [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "...                                                 ...       ...   \n",
       "4804      [{\"iso_639_1\": \"es\", \"name\": \"Espa\\u00f1ol\"}]  Released   \n",
       "4805                                                 []  Released   \n",
       "4806           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "4807           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "4808           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "\n",
       "                                                tagline  \\\n",
       "0                           Enter the World of Pandora.   \n",
       "1        At the end of the world, the adventure begins.   \n",
       "2                                 A Plan No One Escapes   \n",
       "3                                       The Legend Ends   \n",
       "4                  Lost in our world, found in another.   \n",
       "...                                                 ...   \n",
       "4804  He didn't come looking for trouble, but troubl...   \n",
       "4805  A newlywed couple's honeymoon is upended by th...   \n",
       "4806                                                NaN   \n",
       "4807                           A New Yorker in Shanghai   \n",
       "4808                                                NaN   \n",
       "\n",
       "                                         title vote_average vote_count  \\\n",
       "0                                       Avatar          7.2      11800   \n",
       "1     Pirates of the Caribbean: At World's End          6.9       4500   \n",
       "2                                      Spectre          6.3       4466   \n",
       "3                        The Dark Knight Rises          7.6       9106   \n",
       "4                                  John Carter          6.1       2124   \n",
       "...                                        ...          ...        ...   \n",
       "4804                               El Mariachi          6.6        238   \n",
       "4805                                 Newlyweds          5.9          5   \n",
       "4806                 Signed, Sealed, Delivered          7.0          6   \n",
       "4807                          Shanghai Calling          5.7          7   \n",
       "4808                         My Date with Drew          6.3         16   \n",
       "\n",
       "     movie_id                                               cast  \\\n",
       "0       19995  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "1         285  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
       "2      206647  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
       "3       49026  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
       "4       49529  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
       "...       ...                                                ...   \n",
       "4804     9367  [{\"cast_id\": 1, \"character\": \"El Mariachi\", \"c...   \n",
       "4805    72766  [{\"cast_id\": 1, \"character\": \"Buzzy\", \"credit_...   \n",
       "4806   231617  [{\"cast_id\": 8, \"character\": \"Oliver O\\u2019To...   \n",
       "4807   126186  [{\"cast_id\": 3, \"character\": \"Sam\", \"credit_id...   \n",
       "4808    25975  [{\"cast_id\": 3, \"character\": \"Herself\", \"credi...   \n",
       "\n",
       "                                                   crew  \n",
       "0     [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
       "1     [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
       "2     [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
       "3     [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
       "4     [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  \n",
       "...                                                 ...  \n",
       "4804  [{\"credit_id\": \"52fe44eec3a36847f80b280b\", \"de...  \n",
       "4805  [{\"credit_id\": \"52fe487dc3a368484e0fb013\", \"de...  \n",
       "4806  [{\"credit_id\": \"52fe4df3c3a36847f8275ecf\", \"de...  \n",
       "4807  [{\"credit_id\": \"52fe4ad9c3a368484e16a36b\", \"de...  \n",
       "4808  [{\"credit_id\": \"58ce021b9251415a390165d9\", \"de...  \n",
       "\n",
       "[4809 rows x 23 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merzzing file\n",
    "# yha pe mene title ke bassis pe dono files co ek sath joda h \n",
    "movies.merge(credits,on = 'title')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "37894381",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>...</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>movie_id</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
       "      <td>...</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget                                             genres  \\\n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                      homepage     id  \\\n",
       "0  http://www.avatarmovie.com/  19995   \n",
       "\n",
       "                                            keywords original_language  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
       "\n",
       "  original_title                                           overview  \\\n",
       "0         Avatar  In the 22nd century, a paraplegic Marine is di...   \n",
       "\n",
       "   popularity                               production_companies  ... runtime  \\\n",
       "0  150.437577  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...  ...   162.0   \n",
       "\n",
       "                                    spoken_languages    status  \\\n",
       "0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
       "\n",
       "                       tagline   title vote_average vote_count movie_id  \\\n",
       "0  Enter the World of Pandora.  Avatar          7.2      11800    19995   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
       "\n",
       "[1 rows x 23 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies = movies.merge(credits,on = 'title')\n",
    "movies.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4061e1a8",
   "metadata": {},
   "outputs": [],
   "source": [
    " # rakhne wale coulom =  genres , id , keywords , tittle , overview ,cast,crew\n",
    "movies = movies[['movie_id','title','overview','genres','keywords','cast','crew']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "348dfe8f",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'original_language'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3802\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   3801\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 3802\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   3803\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\_libs\\index.pyx:138\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\_libs\\index.pyx:165\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5745\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5753\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 'original_language'",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[13], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mmovies\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43moriginal_language\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mvalue_counts()\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:3807\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   3805\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[0;32m   3806\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_getitem_multilevel(key)\n\u001b[1;32m-> 3807\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   3808\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[0;32m   3809\u001b[0m     indexer \u001b[38;5;241m=\u001b[39m [indexer]\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3804\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   3802\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine\u001b[38;5;241m.\u001b[39mget_loc(casted_key)\n\u001b[0;32m   3803\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m-> 3804\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[0;32m   3805\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[0;32m   3806\u001b[0m     \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[0;32m   3807\u001b[0m     \u001b[38;5;66;03m#  InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[0;32m   3808\u001b[0m     \u001b[38;5;66;03m#  the TypeError.\u001b[39;00m\n\u001b[0;32m   3809\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n",
      "\u001b[1;31mKeyError\u001b[0m: 'original_language'"
     ]
    }
   ],
   "source": [
    "movies['original_language'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "86e1c34e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 4809 entries, 0 to 4808\n",
      "Data columns (total 7 columns):\n",
      " #   Column    Non-Null Count  Dtype \n",
      "---  ------    --------------  ----- \n",
      " 0   movie_id  4809 non-null   int64 \n",
      " 1   title     4809 non-null   object\n",
      " 2   overview  4806 non-null   object\n",
      " 3   genres    4809 non-null   object\n",
      " 4   keywords  4809 non-null   object\n",
      " 5   cast      4809 non-null   object\n",
      " 6   crew      4809 non-null   object\n",
      "dtypes: int64(1), object(6)\n",
      "memory usage: 300.6+ KB\n"
     ]
    }
   ],
   "source": [
    "movies.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "dc096e32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...\n",
       "1       [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...\n",
       "2       [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...\n",
       "3       [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...\n",
       "4       [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...\n",
       "                              ...                        \n",
       "4804    [{\"cast_id\": 1, \"character\": \"El Mariachi\", \"c...\n",
       "4805    [{\"cast_id\": 1, \"character\": \"Buzzy\", \"credit_...\n",
       "4806    [{\"cast_id\": 8, \"character\": \"Oliver O\\u2019To...\n",
       "4807    [{\"cast_id\": 3, \"character\": \"Sam\", \"credit_id...\n",
       "4808    [{\"cast_id\": 3, \"character\": \"Herself\", \"credi...\n",
       "Name: cast, Length: 4809, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies[\"cast\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a7b18624",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>overview</th>\n",
       "      <th>genres</th>\n",
       "      <th>keywords</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id   title                                           overview  \\\n",
       "0     19995  Avatar  In the 22nd century, a paraplegic Marine is di...   \n",
       "\n",
       "                                              genres  \\\n",
       "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "53682c37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "movie_id    0\n",
       "title       0\n",
       "overview    3\n",
       "genres      0\n",
       "keywords    0\n",
       "cast        0\n",
       "crew        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check kiya ki koi data missing nhi h kya ? to hmare pass 3 movies ka overview nhi h to unhe drop kr diya h \n",
    "movies.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "97b176a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop ese krte h jb koi data missing hota h \n",
    "movies.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "232916f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "movie_id    0\n",
       "title       0\n",
       "overview    0\n",
       "genres      0\n",
       "keywords    0\n",
       "cast        0\n",
       "crew        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.isnull().sum()\n",
    "# abhi koi data missing nhi h "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6ea0d802",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# yha pe chack krenge ki koi duplicate to nhi h na \n",
    "movies.duplicated().sum()\n",
    "# koi nhi h duplicate "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "8a78f1cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...\n",
       "1       [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...\n",
       "2       [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...\n",
       "3       [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...\n",
       "4       [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...\n",
       "                              ...                        \n",
       "4804    [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...\n",
       "4805    [{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 10749, \"...\n",
       "4806    [{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 18, \"nam...\n",
       "4807                                                   []\n",
       "4808                  [{\"id\": 99, \"name\": \"Documentary\"}]\n",
       "Name: genres, Length: 4806, dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies['genres']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "085a7b8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 878, \"name\": \"Science Fiction\"}]'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.iloc[0].genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "43be8be7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# '[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 878, \"name\": \"Science Fiction\"}]\n",
    "# hme lana h is formet me = ['Action','Adventure','FFantasy','SciFi']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c6a04339",
   "metadata": {},
   "outputs": [],
   "source": [
    "# def convert(obj):\n",
    "#     l = []\n",
    "#     for i in obj:\n",
    "#         l.append(i[\"name\"])        \n",
    "#     return l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8ccbc5ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert('[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 878, \"name\": \"Science Fiction\"}]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "cd9f12af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'id': 28, 'name': 'Action'},\n",
       " {'id': 12, 'name': 'Adventure'},\n",
       " {'id': 14, 'name': 'Fantasy'},\n",
       " {'id': 878, 'name': 'Science Fiction'}]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#  ast ek esa module h jiska fuction literal_eval()  string list ko list me chat krata h \n",
    "import ast\n",
    "ast.literal_eval('[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 878, \"name\": \"Science Fiction\"}]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9790d069",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert(obj):\n",
    "    l = []\n",
    "    for i in ast.literal_eval(obj):\n",
    "        l.append(i[\"name\"])        \n",
    "    return l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b8332aaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['genres'] = movies['genres'].apply(convert)\n",
    "\n",
    "# esa hi baki ke liye kr denge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ffc821af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>overview</th>\n",
       "      <th>genres</th>\n",
       "      <th>keywords</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id   title                                           overview  \\\n",
       "0     19995  Avatar  In the 22nd century, a paraplegic Marine is di...   \n",
       "\n",
       "                                              genres  \\\n",
       "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head(1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "97557686",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'convert' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[26], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m movies[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mkeywords\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m movies[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mkeywords\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mapply(\u001b[43mconvert\u001b[49m)\n",
      "\u001b[1;31mNameError\u001b[0m: name 'convert' is not defined"
     ]
    }
   ],
   "source": [
    "movies['keywords'] = movies['keywords'].apply(convert)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "66ff135b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>overview</th>\n",
       "      <th>genres</th>\n",
       "      <th>keywords</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id   title                                           overview  \\\n",
       "0     19995  Avatar  In the 22nd century, a paraplegic Marine is di...   \n",
       "\n",
       "                                              genres  \\\n",
       "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a4bc1022",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"credit_id\": \"5602a8a7c3a3685532001c9a\", \"gender\": 2, \"id\": 65731, \"name\": \"Sam Worthington\", \"order\": 0}, {\"cast_id\": 3, \"character\": \"Neytiri\", \"credit_id\": \"52fe48009251416c750ac9cb\", \"gender\": 1, \"id\": 8691, \"name\": \"Zoe Saldana\", \"order\": 1}, {\"cast_id\": 25, \"character\": \"Dr. Grace Augustine\", \"credit_id\": \"52fe48009251416c750aca39\", \"gender\": 1, \"id\": 10205, \"name\": \"Sigourney Weaver\", \"order\": 2}, {\"cast_id\": 4, \"character\": \"Col. Quaritch\", \"credit_id\": \"52fe48009251416c750ac9cf\", \"gender\": 2, \"id\": 32747, \"name\": \"Stephen Lang\", \"order\": 3}, {\"cast_id\": 5, \"character\": \"Trudy Chacon\", \"credit_id\": \"52fe48009251416c750ac9d3\", \"gender\": 1, \"id\": 17647, \"name\": \"Michelle Rodriguez\", \"order\": 4}, {\"cast_id\": 8, \"character\": \"Selfridge\", \"credit_id\": \"52fe48009251416c750ac9e1\", \"gender\": 2, \"id\": 1771, \"name\": \"Giovanni Ribisi\", \"order\": 5}, {\"cast_id\": 7, \"character\": \"Norm Spellman\", \"credit_id\": \"52fe48009251416c750ac9dd\", \"gender\": 2, \"id\": 59231, \"name\": \"Joel David Moore\", \"order\": 6}, {\"cast_id\": 9, \"character\": \"Moat\", \"credit_id\": \"52fe48009251416c750ac9e5\", \"gender\": 1, \"id\": 30485, \"name\": \"CCH Pounder\", \"order\": 7}, {\"cast_id\": 11, \"character\": \"Eytukan\", \"credit_id\": \"52fe48009251416c750ac9ed\", \"gender\": 2, \"id\": 15853, \"name\": \"Wes Studi\", \"order\": 8}, {\"cast_id\": 10, \"character\": \"Tsu\\'Tey\", \"credit_id\": \"52fe48009251416c750ac9e9\", \"gender\": 2, \"id\": 10964, \"name\": \"Laz Alonso\", \"order\": 9}, {\"cast_id\": 12, \"character\": \"Dr. Max Patel\", \"credit_id\": \"52fe48009251416c750ac9f1\", \"gender\": 2, \"id\": 95697, \"name\": \"Dileep Rao\", \"order\": 10}, {\"cast_id\": 13, \"character\": \"Lyle Wainfleet\", \"credit_id\": \"52fe48009251416c750ac9f5\", \"gender\": 2, \"id\": 98215, \"name\": \"Matt Gerald\", \"order\": 11}, {\"cast_id\": 32, \"character\": \"Private Fike\", \"credit_id\": \"52fe48009251416c750aca5b\", \"gender\": 2, \"id\": 154153, \"name\": \"Sean Anthony Moran\", \"order\": 12}, {\"cast_id\": 33, \"character\": \"Cryo Vault Med Tech\", \"credit_id\": \"52fe48009251416c750aca5f\", \"gender\": 2, \"id\": 397312, \"name\": \"Jason Whyte\", \"order\": 13}, {\"cast_id\": 34, \"character\": \"Venture Star Crew Chief\", \"credit_id\": \"52fe48009251416c750aca63\", \"gender\": 2, \"id\": 42317, \"name\": \"Scott Lawrence\", \"order\": 14}, {\"cast_id\": 35, \"character\": \"Lock Up Trooper\", \"credit_id\": \"52fe48009251416c750aca67\", \"gender\": 2, \"id\": 986734, \"name\": \"Kelly Kilgour\", \"order\": 15}, {\"cast_id\": 36, \"character\": \"Shuttle Pilot\", \"credit_id\": \"52fe48009251416c750aca6b\", \"gender\": 0, \"id\": 1207227, \"name\": \"James Patrick Pitt\", \"order\": 16}, {\"cast_id\": 37, \"character\": \"Shuttle Co-Pilot\", \"credit_id\": \"52fe48009251416c750aca6f\", \"gender\": 0, \"id\": 1180936, \"name\": \"Sean Patrick Murphy\", \"order\": 17}, {\"cast_id\": 38, \"character\": \"Shuttle Crew Chief\", \"credit_id\": \"52fe48009251416c750aca73\", \"gender\": 2, \"id\": 1019578, \"name\": \"Peter Dillon\", \"order\": 18}, {\"cast_id\": 39, \"character\": \"Tractor Operator / Troupe\", \"credit_id\": \"52fe48009251416c750aca77\", \"gender\": 0, \"id\": 91443, \"name\": \"Kevin Dorman\", \"order\": 19}, {\"cast_id\": 40, \"character\": \"Dragon Gunship Pilot\", \"credit_id\": \"52fe48009251416c750aca7b\", \"gender\": 2, \"id\": 173391, \"name\": \"Kelson Henderson\", \"order\": 20}, {\"cast_id\": 41, \"character\": \"Dragon Gunship Gunner\", \"credit_id\": \"52fe48009251416c750aca7f\", \"gender\": 0, \"id\": 1207236, \"name\": \"David Van Horn\", \"order\": 21}, {\"cast_id\": 42, \"character\": \"Dragon Gunship Navigator\", \"credit_id\": \"52fe48009251416c750aca83\", \"gender\": 0, \"id\": 215913, \"name\": \"Jacob Tomuri\", \"order\": 22}, {\"cast_id\": 43, \"character\": \"Suit #1\", \"credit_id\": \"52fe48009251416c750aca87\", \"gender\": 0, \"id\": 143206, \"name\": \"Michael Blain-Rozgay\", \"order\": 23}, {\"cast_id\": 44, \"character\": \"Suit #2\", \"credit_id\": \"52fe48009251416c750aca8b\", \"gender\": 2, \"id\": 169676, \"name\": \"Jon Curry\", \"order\": 24}, {\"cast_id\": 46, \"character\": \"Ambient Room Tech\", \"credit_id\": \"52fe48009251416c750aca8f\", \"gender\": 0, \"id\": 1048610, \"name\": \"Luke Hawker\", \"order\": 25}, {\"cast_id\": 47, \"character\": \"Ambient Room Tech / Troupe\", \"credit_id\": \"52fe48009251416c750aca93\", \"gender\": 0, \"id\": 42288, \"name\": \"Woody Schultz\", \"order\": 26}, {\"cast_id\": 48, \"character\": \"Horse Clan Leader\", \"credit_id\": \"52fe48009251416c750aca97\", \"gender\": 2, \"id\": 68278, \"name\": \"Peter Mensah\", \"order\": 27}, {\"cast_id\": 49, \"character\": \"Link Room Tech\", \"credit_id\": \"52fe48009251416c750aca9b\", \"gender\": 0, \"id\": 1207247, \"name\": \"Sonia Yee\", \"order\": 28}, {\"cast_id\": 50, \"character\": \"Basketball Avatar / Troupe\", \"credit_id\": \"52fe48009251416c750aca9f\", \"gender\": 1, \"id\": 1207248, \"name\": \"Jahnel Curfman\", \"order\": 29}, {\"cast_id\": 51, \"character\": \"Basketball Avatar\", \"credit_id\": \"52fe48009251416c750acaa3\", \"gender\": 0, \"id\": 89714, \"name\": \"Ilram Choi\", \"order\": 30}, {\"cast_id\": 52, \"character\": \"Na\\'vi Child\", \"credit_id\": \"52fe48009251416c750acaa7\", \"gender\": 0, \"id\": 1207249, \"name\": \"Kyla Warren\", \"order\": 31}, {\"cast_id\": 53, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acaab\", \"gender\": 0, \"id\": 1207250, \"name\": \"Lisa Roumain\", \"order\": 32}, {\"cast_id\": 54, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acaaf\", \"gender\": 1, \"id\": 83105, \"name\": \"Debra Wilson\", \"order\": 33}, {\"cast_id\": 57, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acabb\", \"gender\": 0, \"id\": 1207253, \"name\": \"Chris Mala\", \"order\": 34}, {\"cast_id\": 55, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acab3\", \"gender\": 0, \"id\": 1207251, \"name\": \"Taylor Kibby\", \"order\": 35}, {\"cast_id\": 56, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acab7\", \"gender\": 0, \"id\": 1207252, \"name\": \"Jodie Landau\", \"order\": 36}, {\"cast_id\": 58, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acabf\", \"gender\": 0, \"id\": 1207254, \"name\": \"Julie Lamm\", \"order\": 37}, {\"cast_id\": 59, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acac3\", \"gender\": 0, \"id\": 1207257, \"name\": \"Cullen B. Madden\", \"order\": 38}, {\"cast_id\": 60, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acac7\", \"gender\": 0, \"id\": 1207259, \"name\": \"Joseph Brady Madden\", \"order\": 39}, {\"cast_id\": 61, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acacb\", \"gender\": 0, \"id\": 1207262, \"name\": \"Frankie Torres\", \"order\": 40}, {\"cast_id\": 62, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acacf\", \"gender\": 1, \"id\": 1158600, \"name\": \"Austin Wilson\", \"order\": 41}, {\"cast_id\": 63, \"character\": \"Troupe\", \"credit_id\": \"52fe48019251416c750acad3\", \"gender\": 1, \"id\": 983705, \"name\": \"Sara Wilson\", \"order\": 42}, {\"cast_id\": 64, \"character\": \"Troupe\", \"credit_id\": \"52fe48019251416c750acad7\", \"gender\": 0, \"id\": 1207263, \"name\": \"Tamica Washington-Miller\", \"order\": 43}, {\"cast_id\": 65, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acadb\", \"gender\": 1, \"id\": 1145098, \"name\": \"Lucy Briant\", \"order\": 44}, {\"cast_id\": 66, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acadf\", \"gender\": 2, \"id\": 33305, \"name\": \"Nathan Meister\", \"order\": 45}, {\"cast_id\": 67, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acae3\", \"gender\": 0, \"id\": 1207264, \"name\": \"Gerry Blair\", \"order\": 46}, {\"cast_id\": 68, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acae7\", \"gender\": 2, \"id\": 33311, \"name\": \"Matthew Chamberlain\", \"order\": 47}, {\"cast_id\": 69, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acaeb\", \"gender\": 0, \"id\": 1207265, \"name\": \"Paul Yates\", \"order\": 48}, {\"cast_id\": 70, \"character\": \"Op Center Duty Officer\", \"credit_id\": \"52fe48019251416c750acaef\", \"gender\": 0, \"id\": 1207266, \"name\": \"Wray Wilson\", \"order\": 49}, {\"cast_id\": 71, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acaf3\", \"gender\": 2, \"id\": 54492, \"name\": \"James Gaylyn\", \"order\": 50}, {\"cast_id\": 72, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acaf7\", \"gender\": 0, \"id\": 1207267, \"name\": \"Melvin Leno Clark III\", \"order\": 51}, {\"cast_id\": 73, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acafb\", \"gender\": 0, \"id\": 1207268, \"name\": \"Carvon Futrell\", \"order\": 52}, {\"cast_id\": 74, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acaff\", \"gender\": 0, \"id\": 1207269, \"name\": \"Brandon Jelkes\", \"order\": 53}, {\"cast_id\": 75, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb03\", \"gender\": 0, \"id\": 1207270, \"name\": \"Micah Moch\", \"order\": 54}, {\"cast_id\": 76, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb07\", \"gender\": 0, \"id\": 1207271, \"name\": \"Hanniyah Muhammad\", \"order\": 55}, {\"cast_id\": 77, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb0b\", \"gender\": 0, \"id\": 1207272, \"name\": \"Christopher Nolen\", \"order\": 56}, {\"cast_id\": 78, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb0f\", \"gender\": 0, \"id\": 1207273, \"name\": \"Christa Oliver\", \"order\": 57}, {\"cast_id\": 79, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb13\", \"gender\": 0, \"id\": 1207274, \"name\": \"April Marie Thomas\", \"order\": 58}, {\"cast_id\": 80, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb17\", \"gender\": 0, \"id\": 1207275, \"name\": \"Bravita A. Threatt\", \"order\": 59}, {\"cast_id\": 81, \"character\": \"Mining Chief (uncredited)\", \"credit_id\": \"52fe48019251416c750acb1b\", \"gender\": 0, \"id\": 1207276, \"name\": \"Colin Bleasdale\", \"order\": 60}, {\"cast_id\": 82, \"character\": \"Veteran Miner (uncredited)\", \"credit_id\": \"52fe48019251416c750acb1f\", \"gender\": 0, \"id\": 107969, \"name\": \"Mike Bodnar\", \"order\": 61}, {\"cast_id\": 83, \"character\": \"Richard (uncredited)\", \"credit_id\": \"52fe48019251416c750acb23\", \"gender\": 0, \"id\": 1207278, \"name\": \"Matt Clayton\", \"order\": 62}, {\"cast_id\": 84, \"character\": \"Nav\\'i (uncredited)\", \"credit_id\": \"52fe48019251416c750acb27\", \"gender\": 1, \"id\": 147898, \"name\": \"Nicole Dionne\", \"order\": 63}, {\"cast_id\": 85, \"character\": \"Trooper (uncredited)\", \"credit_id\": \"52fe48019251416c750acb2b\", \"gender\": 0, \"id\": 1207280, \"name\": \"Jamie Harrison\", \"order\": 64}, {\"cast_id\": 86, \"character\": \"Trooper (uncredited)\", \"credit_id\": \"52fe48019251416c750acb2f\", \"gender\": 0, \"id\": 1207281, \"name\": \"Allan Henry\", \"order\": 65}, {\"cast_id\": 87, \"character\": \"Ground Technician (uncredited)\", \"credit_id\": \"52fe48019251416c750acb33\", \"gender\": 2, \"id\": 1207282, \"name\": \"Anthony Ingruber\", \"order\": 66}, {\"cast_id\": 88, \"character\": \"Flight Crew Mechanic (uncredited)\", \"credit_id\": \"52fe48019251416c750acb37\", \"gender\": 0, \"id\": 1207283, \"name\": \"Ashley Jeffery\", \"order\": 67}, {\"cast_id\": 14, \"character\": \"Samson Pilot\", \"credit_id\": \"52fe48009251416c750ac9f9\", \"gender\": 0, \"id\": 98216, \"name\": \"Dean Knowsley\", \"order\": 68}, {\"cast_id\": 89, \"character\": \"Trooper (uncredited)\", \"credit_id\": \"52fe48019251416c750acb3b\", \"gender\": 0, \"id\": 1201399, \"name\": \"Joseph Mika-Hunt\", \"order\": 69}, {\"cast_id\": 90, \"character\": \"Banshee (uncredited)\", \"credit_id\": \"52fe48019251416c750acb3f\", \"gender\": 0, \"id\": 236696, \"name\": \"Terry Notary\", \"order\": 70}, {\"cast_id\": 91, \"character\": \"Soldier (uncredited)\", \"credit_id\": \"52fe48019251416c750acb43\", \"gender\": 0, \"id\": 1207287, \"name\": \"Kai Pantano\", \"order\": 71}, {\"cast_id\": 92, \"character\": \"Blast Technician (uncredited)\", \"credit_id\": \"52fe48019251416c750acb47\", \"gender\": 0, \"id\": 1207288, \"name\": \"Logan Pithyou\", \"order\": 72}, {\"cast_id\": 93, \"character\": \"Vindum Raah (uncredited)\", \"credit_id\": \"52fe48019251416c750acb4b\", \"gender\": 0, \"id\": 1207289, \"name\": \"Stuart Pollock\", \"order\": 73}, {\"cast_id\": 94, \"character\": \"Hero (uncredited)\", \"credit_id\": \"52fe48019251416c750acb4f\", \"gender\": 0, \"id\": 584868, \"name\": \"Raja\", \"order\": 74}, {\"cast_id\": 95, \"character\": \"Ops Centreworker (uncredited)\", \"credit_id\": \"52fe48019251416c750acb53\", \"gender\": 0, \"id\": 1207290, \"name\": \"Gareth Ruck\", \"order\": 75}, {\"cast_id\": 96, \"character\": \"Engineer (uncredited)\", \"credit_id\": \"52fe48019251416c750acb57\", \"gender\": 0, \"id\": 1062463, \"name\": \"Rhian Sheehan\", \"order\": 76}, {\"cast_id\": 97, \"character\": \"Col. Quaritch\\'s Mech Suit (uncredited)\", \"credit_id\": \"52fe48019251416c750acb5b\", \"gender\": 0, \"id\": 60656, \"name\": \"T. J. Storm\", \"order\": 77}, {\"cast_id\": 98, \"character\": \"Female Marine (uncredited)\", \"credit_id\": \"52fe48019251416c750acb5f\", \"gender\": 0, \"id\": 1207291, \"name\": \"Jodie Taylor\", \"order\": 78}, {\"cast_id\": 99, \"character\": \"Ikran Clan Leader (uncredited)\", \"credit_id\": \"52fe48019251416c750acb63\", \"gender\": 1, \"id\": 1186027, \"name\": \"Alicia Vela-Bailey\", \"order\": 79}, {\"cast_id\": 100, \"character\": \"Geologist (uncredited)\", \"credit_id\": \"52fe48019251416c750acb67\", \"gender\": 0, \"id\": 1207292, \"name\": \"Richard Whiteside\", \"order\": 80}, {\"cast_id\": 101, \"character\": \"Na\\'vi (uncredited)\", \"credit_id\": \"52fe48019251416c750acb6b\", \"gender\": 0, \"id\": 103259, \"name\": \"Nikie Zambo\", \"order\": 81}, {\"cast_id\": 102, \"character\": \"Ambient Room Tech / Troupe\", \"credit_id\": \"52fe48019251416c750acb6f\", \"gender\": 1, \"id\": 42286, \"name\": \"Julene Renee\", \"order\": 82}]'"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies['cast'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4fba2ee7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert3(obj):\n",
    "    l = []\n",
    "    counter = 0\n",
    "    for i in ast.literal_eval(obj):\n",
    "        if counter !=3:\n",
    "            l.append(i[\"name\"])  \n",
    "            counter +=1\n",
    "        else:\n",
    "            break\n",
    "        \n",
    "    return l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c6ffd92e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>overview</th>\n",
       "      <th>genres</th>\n",
       "      <th>keywords</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>[Sam Worthington, Zoe Saldana, Sigourney Weaver]</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>285</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>[Johnny Depp, Orlando Bloom, Keira Knightley]</td>\n",
       "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206647</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>[Daniel Craig, Christoph Waltz, Léa Seydoux]</td>\n",
       "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>49026</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>[Christian Bale, Michael Caine, Gary Oldman]</td>\n",
       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49529</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>[Taylor Kitsch, Lynn Collins, Samantha Morton]</td>\n",
       "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id                                     title  \\\n",
       "0     19995                                    Avatar   \n",
       "1       285  Pirates of the Caribbean: At World's End   \n",
       "2    206647                                   Spectre   \n",
       "3     49026                     The Dark Knight Rises   \n",
       "4     49529                               John Carter   \n",
       "\n",
       "                                            overview  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...   \n",
       "1  Captain Barbossa, long believed to be dead, ha...   \n",
       "2  A cryptic message from Bond’s past sends him o...   \n",
       "3  Following the death of District Attorney Harve...   \n",
       "4  John Carter is a war-weary, former military ca...   \n",
       "\n",
       "                                              genres  \\\n",
       "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "1  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "2  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "3  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
       "4  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...   \n",
       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...   \n",
       "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...   \n",
       "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...   \n",
       "\n",
       "                                               cast  \\\n",
       "0  [Sam Worthington, Zoe Saldana, Sigourney Weaver]   \n",
       "1     [Johnny Depp, Orlando Bloom, Keira Knightley]   \n",
       "2      [Daniel Craig, Christoph Waltz, Léa Seydoux]   \n",
       "3      [Christian Bale, Michael Caine, Gary Oldman]   \n",
       "4    [Taylor Kitsch, Lynn Collins, Samantha Morton]   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
       "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
       "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
       "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
       "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies['cast'] = movies['cast'].apply(convert3)\n",
    "movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "48f7edc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Johnny Depp', 'Orlando Bloom', 'Keira Knightley']"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies['cast'][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "176c2d55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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{\"credit_id\": \"54959f07c3a3680fc60027f9\", \"department\": \"Camera\", \"gender\": 2, \"id\": 1401806, \"job\": \"Still Photographer\", \"name\": \"Mark Fellman\"}, {\"credit_id\": \"54959f47c3a3681153002774\", \"department\": \"Lighting\", \"gender\": 0, \"id\": 1401807, \"job\": \"Lighting Technician\", \"name\": \"Scott Sprague\"}, {\"credit_id\": \"54959f8cc3a36831b8001df2\", \"department\": \"Visual Effects\", \"gender\": 0, \"id\": 1401808, \"job\": \"Animation Director\", \"name\": \"Jeremy Hollobon\"}, {\"credit_id\": \"54959fa0c3a36831b8001dfb\", \"department\": \"Visual Effects\", \"gender\": 0, \"id\": 1401809, \"job\": \"Animation Director\", \"name\": \"Orlando Meunier\"}, {\"credit_id\": \"54959fb6c3a3686af3003f54\", \"department\": \"Visual Effects\", \"gender\": 0, \"id\": 1401810, \"job\": \"Animation Director\", \"name\": \"Taisuke Tanimura\"}, {\"credit_id\": \"54959fd2c3a36831b8001e02\", \"department\": \"Costume & Make-Up\", \"gender\": 0, \"id\": 1401812, 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Hernandez\"}, {\"credit_id\": \"5495a0ddc3a3686ae10046fe\", \"department\": \"Editing\", \"gender\": 0, \"id\": 1401815, \"job\": \"Digital Intermediate\", \"name\": \"Marvin Hall\"}, {\"credit_id\": \"5495a1f7c3a3686ae3004443\", \"department\": \"Production\", \"gender\": 0, \"id\": 1401816, \"job\": \"Publicist\", \"name\": \"Judy Alley\"}, {\"credit_id\": \"5592b29fc3a36869d100002f\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1418381, \"job\": \"CG Supervisor\", \"name\": \"Mike Perry\"}, {\"credit_id\": \"5592b23a9251415df8001081\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1426854, \"job\": \"CG Supervisor\", \"name\": \"Andrew Morley\"}, {\"credit_id\": \"55491e1192514104c40002d8\", \"department\": \"Art\", \"gender\": 0, \"id\": 1438901, \"job\": \"Conceptual Design\", \"name\": \"Seth Engstrom\"}, {\"credit_id\": \"5525d5809251417276002b06\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1447362, \"job\": \"Visual Effects Art Director\", \"name\": \"Eric Oliver\"}, {\"credit_id\": \"554427ca925141586500312a\", \"department\": \"Visual Effects\", \"gender\": 0, \"id\": 1447503, \"job\": \"Modeling\", \"name\": \"Matsune Suzuki\"}, {\"credit_id\": \"551906889251415aab001c88\", \"department\": \"Art\", \"gender\": 0, \"id\": 1447524, \"job\": \"Art Department Manager\", \"name\": \"Paul Tobin\"}, {\"credit_id\": \"5592af8492514152cc0010de\", \"department\": \"Costume & Make-Up\", \"gender\": 0, \"id\": 1452643, \"job\": \"Hairstylist\", \"name\": \"Roxane Griffin\"}, {\"credit_id\": \"553d3c109251415852001318\", \"department\": \"Lighting\", \"gender\": 0, \"id\": 1453938, \"job\": \"Lighting Artist\", \"name\": \"Arun Ram-Mohan\"}, {\"credit_id\": \"5592af4692514152d5001355\", \"department\": \"Costume & Make-Up\", \"gender\": 0, \"id\": 1457305, \"job\": \"Makeup Artist\", \"name\": \"Georgia Lockhart-Adams\"}, {\"credit_id\": \"5592b2eac3a36877470012a5\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1466035, \"job\": \"CG Supervisor\", \"name\": \"Thrain Shadbolt\"}, {\"credit_id\": \"5592b032c3a36877450015f1\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483220, \"job\": \"CG Supervisor\", \"name\": \"Brad Alexander\"}, {\"credit_id\": \"5592b05592514152d80012f6\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483221, \"job\": \"CG Supervisor\", \"name\": \"Shadi Almassizadeh\"}, {\"credit_id\": \"5592b090c3a36877570010b5\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483222, \"job\": \"CG Supervisor\", \"name\": \"Simon Clutterbuck\"}, {\"credit_id\": \"5592b0dbc3a368774b00112c\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483223, \"job\": \"CG Supervisor\", \"name\": \"Graeme Demmocks\"}, {\"credit_id\": \"5592b0fe92514152db0010c1\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483224, \"job\": \"CG Supervisor\", \"name\": \"Adrian Fernandes\"}, {\"credit_id\": \"5592b11f9251415df8001059\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483225, \"job\": \"CG Supervisor\", \"name\": \"Mitch Gates\"}, {\"credit_id\": \"5592b15dc3a3687745001645\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483226, \"job\": \"CG Supervisor\", \"name\": \"Jerry Kung\"}, {\"credit_id\": \"5592b18e925141645a0004ae\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483227, \"job\": \"CG Supervisor\", \"name\": \"Andy Lomas\"}, {\"credit_id\": \"5592b1bfc3a368775d0010e7\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483228, \"job\": \"CG Supervisor\", \"name\": \"Sebastian Marino\"}, {\"credit_id\": \"5592b2049251415df8001078\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483229, \"job\": \"CG Supervisor\", \"name\": \"Matthias Menz\"}, {\"credit_id\": \"5592b27b92514152d800136a\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483230, \"job\": \"CG Supervisor\", \"name\": \"Sergei Nevshupov\"}, {\"credit_id\": \"5592b2c3c3a36869e800003c\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483231, \"job\": \"CG Supervisor\", \"name\": \"Philippe Rebours\"}, {\"credit_id\": \"5592b317c3a36877470012af\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483232, \"job\": \"CG Supervisor\", \"name\": \"Michael Takarangi\"}, {\"credit_id\": \"5592b345c3a36877470012bb\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483233, \"job\": \"CG Supervisor\", \"name\": \"David Weitzberg\"}, {\"credit_id\": \"5592b37cc3a368775100113b\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483234, \"job\": \"CG Supervisor\", \"name\": \"Ben White\"}, {\"credit_id\": \"573c8e2f9251413f5d000094\", \"department\": \"Crew\", \"gender\": 1, \"id\": 1621932, \"job\": \"Stunts\", \"name\": \"Min Windle\"}]'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies['crew'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e1bbe820",
   "metadata": {},
   "outputs": [],
   "source": [
    "def fetch_director(obj):\n",
    "    l = []\n",
    "    for i in ast.literal_eval(obj):\n",
    "        if i['job'] == 'Director' :\n",
    "            l.append(i[\"name\"])  \n",
    "            break\n",
    "    return l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "1f5c0905",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>overview</th>\n",
       "      <th>genres</th>\n",
       "      <th>keywords</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>[Sam Worthington, Zoe Saldana, Sigourney Weaver]</td>\n",
       "      <td>[James Cameron]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>285</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>[Johnny Depp, Orlando Bloom, Keira Knightley]</td>\n",
       "      <td>[Gore Verbinski]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206647</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>[Daniel Craig, Christoph Waltz, Léa Seydoux]</td>\n",
       "      <td>[Sam Mendes]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>49026</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>[Christian Bale, Michael Caine, Gary Oldman]</td>\n",
       "      <td>[Christopher Nolan]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49529</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>[Taylor Kitsch, Lynn Collins, Samantha Morton]</td>\n",
       "      <td>[Andrew Stanton]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id                                     title  \\\n",
       "0     19995                                    Avatar   \n",
       "1       285  Pirates of the Caribbean: At World's End   \n",
       "2    206647                                   Spectre   \n",
       "3     49026                     The Dark Knight Rises   \n",
       "4     49529                               John Carter   \n",
       "\n",
       "                                            overview  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...   \n",
       "1  Captain Barbossa, long believed to be dead, ha...   \n",
       "2  A cryptic message from Bond’s past sends him o...   \n",
       "3  Following the death of District Attorney Harve...   \n",
       "4  John Carter is a war-weary, former military ca...   \n",
       "\n",
       "                                              genres  \\\n",
       "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "1  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "2  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "3  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
       "4  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...   \n",
       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...   \n",
       "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...   \n",
       "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...   \n",
       "\n",
       "                                               cast                 crew  \n",
       "0  [Sam Worthington, Zoe Saldana, Sigourney Weaver]      [James Cameron]  \n",
       "1     [Johnny Depp, Orlando Bloom, Keira Knightley]     [Gore Verbinski]  \n",
       "2      [Daniel Craig, Christoph Waltz, Léa Seydoux]         [Sam Mendes]  \n",
       "3      [Christian Bale, Michael Caine, Gary Oldman]  [Christopher Nolan]  \n",
       "4    [Taylor Kitsch, Lynn Collins, Samantha Morton]     [Andrew Stanton]  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies['crew'] = movies['crew'].apply(fetch_director)\n",
    "movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "18260ce4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Gore Verbinski']"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies['crew'][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "3b099844",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Captain Barbossa, long believed to be dead, has come back to life and is headed to the edge of the Earth with Will Turner and Elizabeth Swann. But nothing is quite as it seems.'"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies['overview'][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "e23ef797",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['overview'] = movies['overview'].apply(lambda x:x.split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "781cf605",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>overview</th>\n",
       "      <th>genres</th>\n",
       "      <th>keywords</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>[In, the, 22nd, century,, a, paraplegic, Marin...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>[Sam Worthington, Zoe Saldana, Sigourney Weaver]</td>\n",
       "      <td>[James Cameron]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>285</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>[Captain, Barbossa,, long, believed, to, be, d...</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>[Johnny Depp, Orlando Bloom, Keira Knightley]</td>\n",
       "      <td>[Gore Verbinski]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206647</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>[A, cryptic, message, from, Bond’s, past, send...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>[Daniel Craig, Christoph Waltz, Léa Seydoux]</td>\n",
       "      <td>[Sam Mendes]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>49026</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>[Following, the, death, of, District, Attorney...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>[Christian Bale, Michael Caine, Gary Oldman]</td>\n",
       "      <td>[Christopher Nolan]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49529</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>[John, Carter, is, a, war-weary,, former, mili...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>[Taylor Kitsch, Lynn Collins, Samantha Morton]</td>\n",
       "      <td>[Andrew Stanton]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id                                     title  \\\n",
       "0     19995                                    Avatar   \n",
       "1       285  Pirates of the Caribbean: At World's End   \n",
       "2    206647                                   Spectre   \n",
       "3     49026                     The Dark Knight Rises   \n",
       "4     49529                               John Carter   \n",
       "\n",
       "                                            overview  \\\n",
       "0  [In, the, 22nd, century,, a, paraplegic, Marin...   \n",
       "1  [Captain, Barbossa,, long, believed, to, be, d...   \n",
       "2  [A, cryptic, message, from, Bond’s, past, send...   \n",
       "3  [Following, the, death, of, District, Attorney...   \n",
       "4  [John, Carter, is, a, war-weary,, former, mili...   \n",
       "\n",
       "                                              genres  \\\n",
       "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "1  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "2  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "3  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
       "4  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...   \n",
       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...   \n",
       "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...   \n",
       "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...   \n",
       "\n",
       "                                               cast                 crew  \n",
       "0  [Sam Worthington, Zoe Saldana, Sigourney Weaver]      [James Cameron]  \n",
       "1     [Johnny Depp, Orlando Bloom, Keira Knightley]     [Gore Verbinski]  \n",
       "2      [Daniel Craig, Christoph Waltz, Léa Seydoux]         [Sam Mendes]  \n",
       "3      [Christian Bale, Michael Caine, Gary Oldman]  [Christopher Nolan]  \n",
       "4    [Taylor Kitsch, Lynn Collins, Samantha Morton]     [Andrew Stanton]  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "4a027e6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# space hatane ke liye kr rhe h \n",
    "movies['genres'] = movies['genres'].apply(lambda x: [i.replace(\" \",\"\") for i in x])\n",
    "movies['keywords'] = movies['keywords'].apply(lambda x: [i.replace(\" \",\"\") for i in x])\n",
    "movies['cast'] = movies['cast'].apply(lambda x: [i.replace(\" \",\"\")for i in x])\n",
    "movies['crew'] = movies['crew'].apply(lambda x: [i.replace(\" \",\"\")for i in x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "9765948a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>overview</th>\n",
       "      <th>genres</th>\n",
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       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>[In, the, 22nd, century,, a, paraplegic, Marin...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 1, 4, 6, 3, ,, , \", n,...</td>\n",
       "      <td>[SamWorthington, ZoeSaldana, SigourneyWeaver]</td>\n",
       "      <td>[JamesCameron]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>285</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>[Captain, Barbossa,, long, believed, to, be, d...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 1, 2, ,, , \", n, a, m,...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 2, 7, 0, ,, , \", n, a,...</td>\n",
       "      <td>[JohnnyDepp, OrlandoBloom, KeiraKnightley]</td>\n",
       "      <td>[GoreVerbinski]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206647</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>[A, cryptic, message, from, Bond’s, past, send...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 4, 7, 0, ,, , \", n, a,...</td>\n",
       "      <td>[DanielCraig, ChristophWaltz, LéaSeydoux]</td>\n",
       "      <td>[SamMendes]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>49026</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>[Following, the, death, of, District, Attorney...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 8, 4, 9, ,, , \", n, a,...</td>\n",
       "      <td>[ChristianBale, MichaelCaine, GaryOldman]</td>\n",
       "      <td>[ChristopherNolan]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49529</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>[John, Carter, is, a, war-weary,, former, mili...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 8, 1, 8, ,, , \", n, a,...</td>\n",
       "      <td>[TaylorKitsch, LynnCollins, SamanthaMorton]</td>\n",
       "      <td>[AndrewStanton]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id                                     title  \\\n",
       "0     19995                                    Avatar   \n",
       "1       285  Pirates of the Caribbean: At World's End   \n",
       "2    206647                                   Spectre   \n",
       "3     49026                     The Dark Knight Rises   \n",
       "4     49529                               John Carter   \n",
       "\n",
       "                                            overview  \\\n",
       "0  [In, the, 22nd, century,, a, paraplegic, Marin...   \n",
       "1  [Captain, Barbossa,, long, believed, to, be, d...   \n",
       "2  [A, cryptic, message, from, Bond’s, past, send...   \n",
       "3  [Following, the, death, of, District, Attorney...   \n",
       "4  [John, Carter, is, a, war-weary,, former, mili...   \n",
       "\n",
       "                                              genres  \\\n",
       "0  [[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...   \n",
       "1  [[, {, \", i, d, \", :, , 1, 2, ,, , \", n, a, m,...   \n",
       "2  [[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...   \n",
       "3  [[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...   \n",
       "4  [[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [[, {, \", i, d, \", :, , 1, 4, 6, 3, ,, , \", n,...   \n",
       "1  [[, {, \", i, d, \", :, , 2, 7, 0, ,, , \", n, a,...   \n",
       "2  [[, {, \", i, d, \", :, , 4, 7, 0, ,, , \", n, a,...   \n",
       "3  [[, {, \", i, d, \", :, , 8, 4, 9, ,, , \", n, a,...   \n",
       "4  [[, {, \", i, d, \", :, , 8, 1, 8, ,, , \", n, a,...   \n",
       "\n",
       "                                            cast                crew  \n",
       "0  [SamWorthington, ZoeSaldana, SigourneyWeaver]      [JamesCameron]  \n",
       "1     [JohnnyDepp, OrlandoBloom, KeiraKnightley]     [GoreVerbinski]  \n",
       "2      [DanielCraig, ChristophWaltz, LéaSeydoux]         [SamMendes]  \n",
       "3      [ChristianBale, MichaelCaine, GaryOldman]  [ChristopherNolan]  \n",
       "4    [TaylorKitsch, LynnCollins, SamanthaMorton]     [AndrewStanton]  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "6f3d6265",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['tags'] = movies['overview'] +movies['genres'] +movies['keywords']+movies['cast'] + movies['crew']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "8c8ad905",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>[[, {, \", i, d, \", :, , 1, 4, 6, 3, ,, , \", n,...</td>\n",
       "      <td>[SamWorthington, ZoeSaldana, SigourneyWeaver]</td>\n",
       "      <td>[JamesCameron]</td>\n",
       "      <td>[In, the, 22nd, century,, a, paraplegic, Marin...</td>\n",
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       "      <th>1</th>\n",
       "      <td>285</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>[Captain, Barbossa,, long, believed, to, be, d...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 1, 2, ,, , \", n, a, m,...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 2, 7, 0, ,, , \", n, a,...</td>\n",
       "      <td>[JohnnyDepp, OrlandoBloom, KeiraKnightley]</td>\n",
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       "      <td>[Captain, Barbossa,, long, believed, to, be, d...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206647</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>[A, cryptic, message, from, Bond’s, past, send...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 4, 7, 0, ,, , \", n, a,...</td>\n",
       "      <td>[DanielCraig, ChristophWaltz, LéaSeydoux]</td>\n",
       "      <td>[SamMendes]</td>\n",
       "      <td>[A, cryptic, message, from, Bond’s, past, send...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>49026</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>[Following, the, death, of, District, Attorney...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...</td>\n",
       "      <td>[[, {, \", i, d, \", :, , 8, 4, 9, ,, , \", n, a,...</td>\n",
       "      <td>[ChristianBale, MichaelCaine, GaryOldman]</td>\n",
       "      <td>[ChristopherNolan]</td>\n",
       "      <td>[Following, the, death, of, District, Attorney...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49529</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>[John, Carter, is, a, war-weary,, former, mili...</td>\n",
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       "      <td>[[, {, \", i, d, \", :, , 8, 1, 8, ,, , \", n, a,...</td>\n",
       "      <td>[TaylorKitsch, LynnCollins, SamanthaMorton]</td>\n",
       "      <td>[AndrewStanton]</td>\n",
       "      <td>[John, Carter, is, a, war-weary,, former, mili...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id                                     title  \\\n",
       "0     19995                                    Avatar   \n",
       "1       285  Pirates of the Caribbean: At World's End   \n",
       "2    206647                                   Spectre   \n",
       "3     49026                     The Dark Knight Rises   \n",
       "4     49529                               John Carter   \n",
       "\n",
       "                                            overview  \\\n",
       "0  [In, the, 22nd, century,, a, paraplegic, Marin...   \n",
       "1  [Captain, Barbossa,, long, believed, to, be, d...   \n",
       "2  [A, cryptic, message, from, Bond’s, past, send...   \n",
       "3  [Following, the, death, of, District, Attorney...   \n",
       "4  [John, Carter, is, a, war-weary,, former, mili...   \n",
       "\n",
       "                                              genres  \\\n",
       "0  [[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...   \n",
       "1  [[, {, \", i, d, \", :, , 1, 2, ,, , \", n, a, m,...   \n",
       "2  [[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...   \n",
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       "4  [[, {, \", i, d, \", :, , 2, 8, ,, , \", n, a, m,...   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [[, {, \", i, d, \", :, , 1, 4, 6, 3, ,, , \", n,...   \n",
       "1  [[, {, \", i, d, \", :, , 2, 7, 0, ,, , \", n, a,...   \n",
       "2  [[, {, \", i, d, \", :, , 4, 7, 0, ,, , \", n, a,...   \n",
       "3  [[, {, \", i, d, \", :, , 8, 4, 9, ,, , \", n, a,...   \n",
       "4  [[, {, \", i, d, \", :, , 8, 1, 8, ,, , \", n, a,...   \n",
       "\n",
       "                                            cast                crew  \\\n",
       "0  [SamWorthington, ZoeSaldana, SigourneyWeaver]      [JamesCameron]   \n",
       "1     [JohnnyDepp, OrlandoBloom, KeiraKnightley]     [GoreVerbinski]   \n",
       "2      [DanielCraig, ChristophWaltz, LéaSeydoux]         [SamMendes]   \n",
       "3      [ChristianBale, MichaelCaine, GaryOldman]  [ChristopherNolan]   \n",
       "4    [TaylorKitsch, LynnCollins, SamanthaMorton]     [AndrewStanton]   \n",
       "\n",
       "                                                tags  \n",
       "0  [In, the, 22nd, century,, a, paraplegic, Marin...  \n",
       "1  [Captain, Barbossa,, long, believed, to, be, d...  \n",
       "2  [A, cryptic, message, from, Bond’s, past, send...  \n",
       "3  [Following, the, death, of, District, Attorney...  \n",
       "4  [John, Carter, is, a, war-weary,, former, mili...  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "8c1d8bc9",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df = movies[['movie_id','title','tags']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b0129907",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   movie_id                                     title  \\\n",
       "0     19995                                    Avatar   \n",
       "1       285  Pirates of the Caribbean: At World's End   \n",
       "2    206647                                   Spectre   \n",
       "3     49026                     The Dark Knight Rises   \n",
       "4     49529                               John Carter   \n",
       "\n",
       "                                                tags  \n",
       "0  [In, the, 22nd, century,, a, paraplegic, Marin...  \n",
       "1  [Captain, Barbossa,, long, believed, to, be, d...  \n",
       "2  [A, cryptic, message, from, Bond’s, past, send...  \n",
       "3  [Following, the, death, of, District, Attorney...  \n",
       "4  [John, Carter, is, a, war-weary,, former, mili...  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "58bed5d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: nltk in c:\\users\\manis\\anaconda3\\lib\\site-packages (3.7)\n",
      "Requirement already satisfied: click in c:\\users\\manis\\anaconda3\\lib\\site-packages (from nltk) (8.0.4)\n",
      "Requirement already satisfied: regex>=2021.8.3 in c:\\users\\manis\\anaconda3\\lib\\site-packages (from nltk) (2022.7.9)\n",
      "Requirement already satisfied: joblib in c:\\users\\manis\\anaconda3\\lib\\site-packages (from nltk) (1.1.1)\n",
      "Requirement already satisfied: tqdm in c:\\users\\manis\\anaconda3\\lib\\site-packages (from nltk) (4.64.1)\n",
      "Requirement already satisfied: colorama in c:\\users\\manis\\anaconda3\\lib\\site-packages (from click->nltk) (0.4.6)\n"
     ]
    }
   ],
   "source": [
    "\n",
    "!pip install nltk "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "6b32e3c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.stem import PorterStemmer\n",
    "ps = PorterStemmer()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "19ae7203",
   "metadata": {},
   "outputs": [],
   "source": [
    "# for stamping words\n",
    "def stem(text):\n",
    "    y = []\n",
    "    \n",
    "    for i in text.split():\n",
    "        y.append(ps.stem(i))\n",
    "    \n",
    "    return \" \".join(y)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "64217582",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\manis\\AppData\\Local\\Temp\\ipykernel_3968\\3213734980.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  new_df['tags'] = new_df['tags'].apply(stem)\n"
     ]
    }
   ],
   "source": [
    "new_df['tags'] = new_df['tags'].apply(stem)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "9c4cf87a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4806, 3)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "503e8ee2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\manis\\AppData\\Local\\Temp\\ipykernel_3968\\2353298730.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  new_df['tags'] = new_df['tags'].apply(lambda x:\" \".join(x))\n"
     ]
    }
   ],
   "source": [
    "# tag ki list ko string me bnanake liye\n",
    "new_df['tags'] = new_df['tags'].apply(lambda x:\" \".join(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "c1a469fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'In the 22nd century, a paraplegic Marine is dispatched to the moon Pandora on a unique mission, but becomes torn between following orders and protecting an alien civilization. [ { \" i d \" :  2 8 ,  \" n a m e \" :  \" A c t i o n \" } ,  { \" i d \" :  1 2 ,  \" n a m e \" :  \" A d v e n t u r e \" } ,  { \" i d \" :  1 4 ,  \" n a m e \" :  \" F a n t a s y \" } ,  { \" i d \" :  8 7 8 ,  \" n a m e \" :  \" S c i e n c e  F i c t i o n \" } ] [ { \" i d \" :  1 4 6 3 ,  \" n a m e \" :  \" c u l t u r e  c l a s h \" } ,  { \" i d \" :  2 9 6 4 ,  \" n a m e \" :  \" f u t u r e \" } ,  { \" i d \" :  3 3 8 6 ,  \" n a m e \" :  \" s p a c e  w a r \" } ,  { \" i d \" :  3 3 8 8 ,  \" n a m e \" :  \" s p a c e  c o l o n y \" } ,  { \" i d \" :  3 6 7 9 ,  \" n a m e \" :  \" s o c i e t y \" } ,  { \" i d \" :  3 8 0 1 ,  \" n a m e \" :  \" s p a c e  t r a v e l \" } ,  { \" i d \" :  9 6 8 5 ,  \" n a m e \" :  \" f u t u r i s t i c \" } ,  { \" i d \" :  9 8 4 0 ,  \" n a m e \" :  \" r o m a n c e \" } ,  { \" i d \" :  9 8 8 2 ,  \" n a m e \" :  \" s p a c e \" } ,  { \" i d \" :  9 9 5 1 ,  \" n a m e \" :  \" a l i e n \" } ,  { \" i d \" :  1 0 1 4 8 ,  \" n a m e \" :  \" t r i b e \" } ,  { \" i d \" :  1 0 1 5 8 ,  \" n a m e \" :  \" a l i e n  p l a n e t \" } ,  { \" i d \" :  1 0 9 8 7 ,  \" n a m e \" :  \" c g i \" } ,  { \" i d \" :  1 1 3 9 9 ,  \" n a m e \" :  \" m a r i n e \" } ,  { \" i d \" :  1 3 0 6 5 ,  \" n a m e \" :  \" s o l d i e r \" } ,  { \" i d \" :  1 4 6 4 3 ,  \" n a m e \" :  \" b a t t l e \" } ,  { \" i d \" :  1 4 7 2 0 ,  \" n a m e \" :  \" l o v e  a f f a i r \" } ,  { \" i d \" :  1 6 5 4 3 1 ,  \" n a m e \" :  \" a n t i  w a r \" } ,  { \" i d \" :  1 9 3 5 5 4 ,  \" n a m e \" :  \" p o w e r  r e l a t i o n s \" } ,  { \" i d \" :  2 0 6 6 9 0 ,  \" n a m e \" :  \" m i n d  a n d  s o u l \" } ,  { \" i d \" :  2 0 9 7 1 4 ,  \" n a m e \" :  \" 3 d \" } ] SamWorthington ZoeSaldana SigourneyWeaver JamesCameron'"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df['tags'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "9c894771",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\manis\\AppData\\Local\\Temp\\ipykernel_3968\\870696370.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  new_df['tags'] = new_df['tags'].apply(lambda x:x.lower())\n"
     ]
    }
   ],
   "source": [
    "# sbko lower case in badal rhe h\n",
    "new_df['tags'] = new_df['tags'].apply(lambda x:x.lower())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "2f3608da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'in the 22nd century, a paraplegic marine is dispatched to the moon pandora on a unique mission, but becomes torn between following orders and protecting an alien civilization. [ { \" i d \" :  2 8 ,  \" n a m e \" :  \" a c t i o n \" } ,  { \" i d \" :  1 2 ,  \" n a m e \" :  \" a d v e n t u r e \" } ,  { \" i d \" :  1 4 ,  \" n a m e \" :  \" f a n t a s y \" } ,  { \" i d \" :  8 7 8 ,  \" n a m e \" :  \" s c i e n c e  f i c t i o n \" } ] [ { \" i d \" :  1 4 6 3 ,  \" n a m e \" :  \" c u l t u r e  c l a s h \" } ,  { \" i d \" :  2 9 6 4 ,  \" n a m e \" :  \" f u t u r e \" } ,  { \" i d \" :  3 3 8 6 ,  \" n a m e \" :  \" s p a c e  w a r \" } ,  { \" i d \" :  3 3 8 8 ,  \" n a m e \" :  \" s p a c e  c o l o n y \" } ,  { \" i d \" :  3 6 7 9 ,  \" n a m e \" :  \" s o c i e t y \" } ,  { \" i d \" :  3 8 0 1 ,  \" n a m e \" :  \" s p a c e  t r a v e l \" } ,  { \" i d \" :  9 6 8 5 ,  \" n a m e \" :  \" f u t u r i s t i c \" } ,  { \" i d \" :  9 8 4 0 ,  \" n a m e \" :  \" r o m a n c e \" } ,  { \" i d \" :  9 8 8 2 ,  \" n a m e \" :  \" s p a c e \" } ,  { \" i d \" :  9 9 5 1 ,  \" n a m e \" :  \" a l i e n \" } ,  { \" i d \" :  1 0 1 4 8 ,  \" n a m e \" :  \" t r i b e \" } ,  { \" i d \" :  1 0 1 5 8 ,  \" n a m e \" :  \" a l i e n  p l a n e t \" } ,  { \" i d \" :  1 0 9 8 7 ,  \" n a m e \" :  \" c g i \" } ,  { \" i d \" :  1 1 3 9 9 ,  \" n a m e \" :  \" m a r i n e \" } ,  { \" i d \" :  1 3 0 6 5 ,  \" n a m e \" :  \" s o l d i e r \" } ,  { \" i d \" :  1 4 6 4 3 ,  \" n a m e \" :  \" b a t t l e \" } ,  { \" i d \" :  1 4 7 2 0 ,  \" n a m e \" :  \" l o v e  a f f a i r \" } ,  { \" i d \" :  1 6 5 4 3 1 ,  \" n a m e \" :  \" a n t i  w a r \" } ,  { \" i d \" :  1 9 3 5 5 4 ,  \" n a m e \" :  \" p o w e r  r e l a t i o n s \" } ,  { \" i d \" :  2 0 6 6 9 0 ,  \" n a m e \" :  \" m i n d  a n d  s o u l \" } ,  { \" i d \" :  2 0 9 7 1 4 ,  \" n a m e \" :  \" 3 d \" } ] samworthington zoesaldana sigourneyweaver jamescameron'"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df['tags'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "52801323",
   "metadata": {},
   "outputs": [],
   "source": [
    "#  vectorization  # text vectorization # bag to words\n",
    "# sklearn use krenge\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "cv =  CountVectorizer(stop_words='english' ,max_features=5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "9c9d6910",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       ...,\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0]], dtype=int64)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv.fit_transform(new_df['tags']).toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "51d01b21",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4806, 5000)"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv.fit_transform(new_df['tags']).toarray().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "91db64f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "vectors = cv.fit_transform(new_df['tags']).toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "3a79ebb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       ...,\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0]], dtype=int64)"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "3baf09c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, ..., 0, 0, 0], dtype=int64)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vectors[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "689cc91c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['000', '007', '10', ..., 'zone', 'zoo', 'zooeydeschanel'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv.get_feature_names_out()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "79aa3723",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "000\n",
      "007\n",
      "10\n",
      "100\n",
      "11\n",
      "12\n",
      "13\n",
      "14\n",
      "15\n",
      "150\n",
      "16\n",
      "17\n",
      "17th\n",
      "18\n",
      "1890\n",
      "18th\n",
      "19\n",
      "1920\n",
      "1930\n",
      "1940\n",
      "1944\n",
      "1950\n",
      "1950s\n",
      "1955\n",
      "1959\n",
      "1960\n",
      "1960s\n",
      "1962\n",
      "1964\n",
      "1965\n",
      "1967\n",
      "1970\n",
      "1970s\n",
      "1971\n",
      "1972\n",
      "1973\n",
      "1974\n",
      "1976\n",
      "1979\n",
      "1980\n",
      "1980s\n",
      "1985\n",
      "1990\n",
      "1997\n",
      "1999\n",
      "19th\n",
      "20\n",
      "200\n",
      "2000\n",
      "2003\n",
      "2009\n",
      "20th\n",
      "21st\n",
      "23\n",
      "24\n",
      "25\n",
      "30\n",
      "300\n",
      "3d\n",
      "40\n",
      "50\n",
      "500\n",
      "60\n",
      "60s\n",
      "70\n",
      "80\n",
      "aaron\n",
      "aaroneckhart\n",
      "aarontaylor\n",
      "abandon\n",
      "abbi\n",
      "abduct\n",
      "abigailbreslin\n",
      "abil\n",
      "abl\n",
      "aboard\n",
      "abov\n",
      "abroad\n",
      "absolut\n",
      "abus\n",
      "academ\n",
      "academi\n",
      "academy\n",
      "accept\n",
      "access\n",
      "accid\n",
      "accident\n",
      "acclaim\n",
      "accompani\n",
      "accomplish\n",
      "account\n",
      "accus\n",
      "ace\n",
      "achiev\n",
      "acquaint\n",
      "acquir\n",
      "act\n",
      "action\n",
      "activ\n",
      "activist\n",
      "activities\n",
      "actor\n",
      "actress\n",
      "actual\n",
      "ad\n",
      "adam\n",
      "adammckay\n",
      "adamsandl\n",
      "adamshankman\n",
      "adapt\n",
      "add\n",
      "addict\n",
      "adjust\n",
      "admir\n",
      "admit\n",
      "adolesc\n",
      "adopt\n",
      "ador\n",
      "adrienbrodi\n",
      "adrift\n",
      "adult\n",
      "adulthood\n",
      "adults\n",
      "advanc\n",
      "advantag\n",
      "adventur\n",
      "adventure\n",
      "adventures\n",
      "advertis\n",
      "advic\n",
      "advis\n",
      "affair\n",
      "affect\n",
      "affluent\n",
      "afghanistan\n",
      "afraid\n",
      "africa\n",
      "african\n",
      "aftermath\n",
      "ag\n",
      "age\n",
      "agenc\n",
      "agency\n",
      "agenda\n",
      "agent\n",
      "agents\n",
      "aggress\n",
      "ago\n",
      "agre\n",
      "ahead\n",
      "aid\n",
      "aidanquinn\n",
      "ail\n",
      "aim\n",
      "air\n",
      "airborn\n",
      "aircraft\n",
      "airport\n",
      "aka\n",
      "al\n",
      "alabama\n",
      "alan\n",
      "alanarkin\n",
      "alaska\n",
      "albert\n",
      "albertbrook\n",
      "alcohol\n",
      "alecbaldwin\n",
      "alejandrogonzáleziñárritu\n",
      "alex\n",
      "alexapenavega\n",
      "alexisbledel\n",
      "alexkendrick\n",
      "alfi\n",
      "alfredhitchcock\n",
      "alfredmolina\n",
      "algeria\n",
      "ali\n",
      "alic\n",
      "alice\n",
      "alicebraga\n",
      "alien\n",
      "aliens\n",
      "alik\n",
      "alike\n",
      "alilart\n",
      "aliv\n",
      "alive\n",
      "alleg\n",
      "allegedli\n",
      "allen\n",
      "alli\n",
      "allianc\n",
      "allies\n",
      "allow\n",
      "alon\n",
      "alongsid\n",
      "alpacino\n",
      "alpha\n",
      "alreadi\n",
      "alter\n",
      "altern\n",
      "alway\n",
      "alyssa\n",
      "alzheimer\n",
      "amanda\n",
      "amandapeet\n",
      "amandaseyfri\n",
      "amateur\n",
      "amaz\n",
      "ambassador\n",
      "amberheard\n",
      "ambit\n",
      "ambiti\n",
      "ambush\n",
      "america\n",
      "american\n",
      "ami\n",
      "amid\n",
      "amidst\n",
      "amp\n",
      "amus\n",
      "amy\n",
      "amyadam\n",
      "amysmart\n",
      "ana\n",
      "anakin\n",
      "analyst\n",
      "ancient\n",
      "anderson\n",
      "andi\n",
      "andiemacdowel\n",
      "andrew\n",
      "andrewniccol\n",
      "andrzejbartkowiak\n",
      "andy\n",
      "andyfickman\n",
      "andygarcía\n",
      "andyserki\n",
      "andytenn\n",
      "angel\n",
      "angela\n",
      "angelabassett\n",
      "angeles\n",
      "angelinajoli\n",
      "anger\n",
      "angle\n",
      "angri\n",
      "ani\n",
      "anim\n",
      "animal\n",
      "animals\n",
      "anjelicahuston\n",
      "ann\n",
      "anna\n",
      "annafari\n",
      "annakendrick\n",
      "anne\n",
      "annefletch\n",
      "annehathaway\n",
      "annehech\n",
      "annemoss\n",
      "annetteben\n",
      "anni\n",
      "annie\n",
      "anniversari\n",
      "announc\n",
      "annual\n",
      "anonym\n",
      "anoth\n",
      "answer\n",
      "answers\n",
      "anthoni\n",
      "anthonyanderson\n",
      "anthonyhopkin\n",
      "anthonymacki\n",
      "anti\n",
      "antic\n",
      "antiqu\n",
      "antoinefuqua\n",
      "antoniobandera\n",
      "antonyelchin\n",
      "anyon\n",
      "anyth\n",
      "apart\n",
      "apartment\n",
      "ape\n",
      "apes\n",
      "apocalypse\n",
      "apocalypt\n",
      "appar\n",
      "appear\n",
      "appl\n",
      "apple\n",
      "appli\n",
      "appoint\n",
      "appreci\n",
      "apprehend\n",
      "apprentic\n",
      "approach\n",
      "approaches\n",
      "april\n",
      "arab\n",
      "arch\n",
      "archaeologist\n",
      "architect\n",
      "arctic\n",
      "area\n",
      "aren\n",
      "arena\n",
      "argument\n",
      "aris\n",
      "aristocrat\n",
      "arm\n",
      "armi\n",
      "armiehamm\n",
      "armor\n",
      "army\n",
      "arnold\n",
      "arnoldschwarzenegg\n",
      "arrang\n",
      "array\n",
      "arrest\n",
      "arrested\n",
      "arriv\n",
      "arrive\n",
      "arrives\n",
      "arrog\n",
      "art\n",
      "arthur\n",
      "articl\n",
      "artifact\n",
      "artifici\n",
      "artist\n",
      "ash\n",
      "ashley\n",
      "ashleyjudd\n",
      "ashtonkutch\n",
      "asia\n",
      "asid\n",
      "ask\n",
      "aspect\n",
      "aspir\n",
      "assassin\n",
      "assault\n",
      "assembl\n",
      "assign\n",
      "assignment\n",
      "assist\n",
      "assistant\n",
      "associ\n",
      "assum\n",
      "astronaut\n",
      "asylum\n",
      "athlet\n",
      "atlant\n",
      "atom\n",
      "atomegoyan\n",
      "attach\n",
      "attack\n",
      "attacks\n",
      "attempt\n",
      "attend\n",
      "attent\n",
      "attitud\n",
      "attorney\n",
      "attract\n",
      "audienc\n",
      "audit\n",
      "audreytaut\n",
      "august\n",
      "aunt\n",
      "austin\n",
      "australia\n",
      "australian\n",
      "austrian\n",
      "author\n",
      "authorities\n",
      "authority\n",
      "auto\n",
      "autobiograph\n",
      "avail\n",
      "aveng\n",
      "averag\n",
      "avoid\n",
      "await\n",
      "awak\n",
      "awaken\n",
      "awar\n",
      "award\n",
      "away\n",
      "awe\n",
      "awesom\n",
      "awkward\n",
      "awri\n",
      "awry\n",
      "axel\n",
      "babe\n",
      "babi\n",
      "baby\n",
      "bachelor\n",
      "backdrop\n",
      "background\n",
      "backwat\n",
      "backyard\n",
      "bad\n",
      "badli\n",
      "bag\n",
      "bahama\n",
      "bail\n",
      "bailey\n",
      "baker\n",
      "balanc\n",
      "ball\n",
      "ballet\n",
      "ban\n",
      "band\n",
      "bandit\n",
      "banish\n",
      "bank\n",
      "banker\n",
      "bar\n",
      "barbara\n",
      "barbrastreisand\n",
      "bare\n",
      "bargain\n",
      "barn\n",
      "barney\n",
      "baron\n",
      "barri\n",
      "barrier\n",
      "barry\n",
      "barrylevinson\n",
      "barrypepp\n",
      "barrysonnenfeld\n",
      "bars\n",
      "bas\n",
      "base\n",
      "basebal\n",
      "basement\n",
      "basketbal\n",
      "basketball\n",
      "batman\n",
      "battalion\n",
      "battl\n",
      "battle\n",
      "bay\n",
      "beach\n",
      "beam\n",
      "bear\n",
      "beast\n",
      "beat\n",
      "beauti\n",
      "beautiful\n",
      "beauty\n",
      "becam\n",
      "becaus\n",
      "becki\n",
      "becom\n",
      "bed\n",
      "bedroom\n",
      "bee\n",
      "befor\n",
      "befriend\n",
      "beg\n",
      "began\n",
      "begin\n",
      "begins\n",
      "behavior\n",
      "belief\n",
      "beliefs\n",
      "believ\n",
      "bell\n",
      "bella\n",
      "belong\n",
      "belov\n",
      "ben\n",
      "benaffleck\n",
      "bend\n",
      "beneath\n",
      "benefit\n",
      "benfost\n",
      "beniciodeltoro\n",
      "benjamin\n",
      "benjaminbratt\n",
      "benkingsley\n",
      "bennett\n",
      "benstil\n",
      "bent\n",
      "berlin\n",
      "berniemac\n",
      "best\n",
      "bet\n",
      "beth\n",
      "betray\n",
      "betrayal\n",
      "bettemidl\n",
      "better\n",
      "betti\n",
      "beverli\n",
      "bid\n",
      "big\n",
      "bigger\n",
      "biggest\n",
      "bike\n",
      "biker\n",
      "bilbo\n",
      "billhad\n",
      "billi\n",
      "billion\n",
      "billionair\n",
      "billmurray\n",
      "billnighi\n",
      "billpaxton\n",
      "billpullman\n",
      "billybobthornton\n",
      "billycrudup\n",
      "billycryst\n",
      "biograph\n",
      "biographi\n",
      "biopic\n",
      "bird\n",
      "birth\n",
      "birthday\n",
      "bishop\n",
      "bit\n",
      "bitter\n",
      "bizarr\n",
      "black\n",
      "blackmail\n",
      "blade\n",
      "blame\n",
      "blaze\n",
      "blend\n",
      "bless\n",
      "blind\n",
      "bliss\n",
      "block\n",
      "blood\n",
      "bloodi\n",
      "bloodthirsti\n",
      "bloom\n",
      "blossom\n",
      "blow\n",
      "blu\n",
      "blue\n",
      "board\n",
      "boat\n",
      "bob\n",
      "bobbi\n",
      "bobbyfarrelli\n",
      "bobhoskin\n",
      "bodi\n",
      "body\n",
      "bodyguard\n",
      "bold\n",
      "bomb\n",
      "bond\n",
      "bone\n",
      "bonniehunt\n",
      "book\n",
      "border\n",
      "bore\n",
      "boring\n",
      "born\n",
      "boss\n",
      "boston\n",
      "botch\n",
      "bound\n",
      "boundari\n",
      "bounti\n",
      "bout\n",
      "box\n",
      "boxer\n",
      "boy\n",
      "boyd\n",
      "boyfriend\n",
      "boys\n",
      "brad\n",
      "bradleycoop\n",
      "bradpitt\n",
      "brain\n",
      "brand\n",
      "brandon\n",
      "brave\n",
      "brazil\n",
      "break\n",
      "breakdown\n",
      "breakup\n",
      "breath\n",
      "breed\n",
      "brendanfras\n",
      "brendangleeson\n",
      "brent\n",
      "brettratn\n",
      "brian\n",
      "briandepalma\n",
      "brianlev\n",
      "brianrobbin\n",
      "bride\n",
      "bridg\n",
      "brief\n",
      "brielarson\n",
      "brien\n",
      "bright\n",
      "brilliant\n",
      "bring\n",
      "brink\n",
      "britain\n",
      "british\n",
      "brittanymurphi\n",
      "broadcast\n",
      "broadway\n",
      "broke\n",
      "broken\n",
      "brook\n",
      "brooklyn\n",
      "brother\n",
      "brothers\n",
      "brought\n",
      "brown\n",
      "bruce\n",
      "brucecampbel\n",
      "brucegreenwood\n",
      "brucewilli\n",
      "brutal\n",
      "bryancranston\n",
      "bryansing\n",
      "bu\n",
      "buck\n",
      "bud\n",
      "buddi\n",
      "buddy\n",
      "budget\n",
      "build\n",
      "building\n",
      "built\n",
      "bullet\n",
      "bulli\n",
      "bumbl\n",
      "bunch\n",
      "buri\n",
      "burn\n",
      "burtreynold\n",
      "bush\n",
      "busi\n",
      "business\n",
      "businessman\n",
      "bust\n",
      "butch\n",
      "butcher\n",
      "butler\n",
      "butt\n",
      "buy\n",
      "buzz\n",
      "cabin\n",
      "caesar\n",
      "cain\n",
      "cal\n",
      "caleb\n",
      "california\n",
      "calm\n",
      "calvin\n",
      "came\n",
      "camera\n",
      "cameraman\n",
      "cameron\n",
      "cameroncrow\n",
      "camerondiaz\n",
      "camgigandet\n",
      "camp\n",
      "campaign\n",
      "campbel\n",
      "campbell\n",
      "campbellscott\n",
      "campu\n",
      "canada\n",
      "canadian\n",
      "cancer\n",
      "candid\n",
      "canin\n",
      "capabl\n",
      "capit\n",
      "capt\n",
      "captain\n",
      "captiv\n",
      "captur\n",
      "capture\n",
      "car\n",
      "card\n",
      "care\n",
      "career\n",
      "carefre\n",
      "careymulligan\n",
      "cargo\n",
      "caribbean\n",
      "carl\n",
      "carlagugino\n",
      "carlo\n",
      "carmen\n",
      "carol\n",
      "carolina\n",
      "carri\n",
      "carrie\n",
      "carriefish\n",
      "cartel\n",
      "carter\n",
      "caryelw\n",
      "case\n",
      "caseyaffleck\n",
      "cash\n",
      "casino\n",
      "cast\n",
      "castl\n",
      "castle\n",
      "cat\n",
      "catastroph\n",
      "catch\n",
      "cateblanchett\n",
      "catherin\n",
      "catherinedeneuv\n",
      "catherinehardwick\n",
      "catherinekeen\n",
      "catherinezeta\n",
      "cathol\n",
      "cattl\n",
      "caught\n",
      "caus\n",
      "cause\n",
      "cave\n",
      "cedrictheentertain\n",
      "celebr\n",
      "celebration\n",
      "cell\n",
      "center\n",
      "centr\n",
      "central\n",
      "centuri\n",
      "centuries\n",
      "century\n",
      "ceo\n",
      "certain\n",
      "chad\n",
      "chain\n",
      "challeng\n",
      "chamber\n",
      "champion\n",
      "championship\n",
      "chanc\n",
      "chance\n",
      "chang\n",
      "change\n",
      "changed\n",
      "changes\n",
      "channel\n",
      "channingtatum\n",
      "chao\n",
      "chaos\n",
      "chaotic\n",
      "chapter\n",
      "charact\n",
      "character\n",
      "characters\n",
      "charg\n",
      "charismat\n",
      "charl\n",
      "charless\n",
      "charli\n",
      "charlie\n",
      "charliesheen\n",
      "charlizetheron\n",
      "charlott\n",
      "charm\n",
      "chart\n",
      "chase\n",
      "chazzpalminteri\n",
      "cheat\n",
      "check\n",
      "cheerlead\n",
      "chef\n",
      "chemic\n",
      "cher\n",
      "chevychas\n",
      "chicago\n",
      "chicken\n",
      "chief\n",
      "child\n",
      "childhood\n",
      "children\n",
      "chill\n",
      "china\n",
      "chines\n",
      "chip\n",
      "chiwetelejiofor\n",
      "chloe\n",
      "chloëgracemoretz\n",
      "chloësevigni\n",
      "choic\n",
      "choice\n",
      "chon\n",
      "choos\n",
      "chosen\n",
      "chowyun\n",
      "chri\n",
      "chriscolumbu\n",
      "chriscoop\n",
      "chrisevan\n",
      "chrishemsworth\n",
      "chrisklein\n",
      "chrispin\n",
      "chrisrock\n",
      "christ\n",
      "christian\n",
      "christianbal\n",
      "christianslat\n",
      "christin\n",
      "christinaappleg\n",
      "christinaricci\n",
      "christma\n",
      "christmas\n",
      "christoph\n",
      "christopherguest\n",
      "christopherlambert\n",
      "christopherlloyd\n",
      "christophernolan\n",
      "christopherplumm\n",
      "christopherwalken\n",
      "christophwaltz\n",
      "chrisweitz\n",
      "chronicl\n",
      "chuck\n",
      "chuckrussel\n",
      "church\n",
      "cia\n",
      "ciaránhind\n",
      "cillianmurphi\n",
      "cindi\n",
      "cinema\n",
      "circl\n",
      "circle\n",
      "circu\n",
      "circuit\n",
      "circumst\n",
      "circumstances\n",
      "citi\n",
      "citizen\n",
      "city\n",
      "civil\n",
      "civilian\n",
      "civilization\n",
      "claim\n",
      "clair\n",
      "clairedan\n",
      "claireforlani\n",
      "clan\n",
      "clark\n",
      "clash\n",
      "class\n",
      "classic\n",
      "classmat\n",
      "claudevandamm\n",
      "clay\n",
      "clean\n",
      "clear\n",
      "clerk\n",
      "client\n",
      "clients\n",
      "climat\n",
      "climb\n",
      "clinteastwood\n",
      "cliveowen\n",
      "clock\n",
      "clone\n",
      "close\n",
      "closer\n",
      "cloud\n",
      "club\n",
      "clue\n",
      "clueless\n",
      "clutch\n",
      "coach\n",
      "coast\n",
      "coastal\n",
      "cocain\n",
      "cocki\n",
      "code\n",
      "codi\n",
      "cohen\n",
      "col\n",
      "cold\n",
      "cole\n",
      "colehaus\n",
      "colin\n",
      "colinfarrel\n",
      "colinfirth\n",
      "collaps\n",
      "collapse\n",
      "colleagu\n",
      "colleague\n",
      "collect\n",
      "collector\n",
      "colleg\n",
      "college\n",
      "collid\n",
      "collide\n",
      "collis\n",
      "colon\n",
      "colonel\n",
      "coloni\n",
      "color\n",
      "colorado\n",
      "coma\n",
      "combat\n",
      "combin\n",
      "come\n",
      "comeback\n",
      "comed\n",
      "comedi\n",
      "comedian\n",
      "comedy\n",
      "comfort\n",
      "comic\n",
      "coming\n",
      "command\n",
      "commerci\n",
      "commiss\n",
      "commit\n",
      "common\n",
      "commun\n",
      "communist\n",
      "community\n",
      "compani\n",
      "companion\n",
      "company\n",
      "compet\n",
      "competit\n",
      "competition\n",
      "complet\n",
      "complex\n",
      "complic\n",
      "compos\n",
      "compound\n",
      "compromis\n",
      "compton\n",
      "compuls\n",
      "comput\n",
      "computer\n",
      "conan\n",
      "concern\n",
      "concert\n",
      "concoct\n",
      "condit\n",
      "condition\n",
      "conduct\n",
      "confeder\n",
      "confid\n",
      "confin\n",
      "confirm\n",
      "conflict\n",
      "confront\n",
      "confus\n",
      "connect\n",
      "connecticut\n",
      "connel\n",
      "conni\n",
      "connienielsen\n",
      "connor\n",
      "conquer\n",
      "conquest\n",
      "conrad\n",
      "conscience\n",
      "consequ\n",
      "consequences\n",
      "conserv\n",
      "consid\n",
      "conspir\n",
      "conspiraci\n",
      "conspiracy\n",
      "constant\n",
      "constantli\n",
      "construct\n",
      "consum\n",
      "contact\n",
      "contain\n",
      "contempl\n",
      "contemporari\n",
      "contend\n",
      "content\n",
      "contest\n",
      "contin\n",
      "continu\n",
      "contract\n",
      "contractor\n",
      "control\n",
      "controversi\n",
      "convent\n",
      "converg\n",
      "convers\n",
      "convict\n",
      "convinc\n",
      "cook\n",
      "cool\n",
      "cooper\n",
      "cop\n",
      "cope\n",
      "cops\n",
      "core\n",
      "corleon\n",
      "corner\n",
      "corp\n",
      "corpor\n",
      "corporation\n",
      "corps\n",
      "corrupt\n",
      "cost\n",
      "costum\n",
      "couldn\n",
      "counselor\n",
      "count\n",
      "countess\n",
      "countless\n",
      "countri\n",
      "country\n",
      "countrysid\n",
      "countryside\n",
      "county\n",
      "coup\n",
      "coupl\n",
      "couple\n",
      "couples\n",
      "courag\n",
      "courage\n",
      "cours\n",
      "court\n",
      "courteneycox\n",
      "cousin\n",
      "cover\n",
      "covert\n",
      "covet\n",
      "cowboy\n",
      "coyot\n",
      "crack\n",
      "craft\n",
      "craig\n",
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      "crane\n",
      "crash\n",
      "crate\n",
      "crave\n",
      "craze\n",
      "crazi\n",
      "creat\n",
      "creation\n",
      "creativ\n",
      "creator\n",
      "creatur\n",
      "creature\n",
      "creatures\n",
      "credit\n",
      "creepi\n",
      "crew\n",
      "crime\n",
      "crimes\n",
      "crimin\n",
      "criminal\n",
      "criminals\n",
      "crisi\n",
      "crisis\n",
      "critic\n",
      "crocodil\n",
      "crook\n",
      "crop\n",
      "cross\n",
      "crowd\n",
      "crown\n",
      "cruel\n",
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      "cruise\n",
      "crumbl\n",
      "crusad\n",
      "crush\n",
      "crystal\n",
      "cuba\n",
      "cubagoodingjr\n",
      "cube\n",
      "cullen\n",
      "culmin\n",
      "cult\n",
      "cultur\n",
      "culture\n",
      "cun\n",
      "cup\n",
      "cure\n",
      "curiou\n",
      "current\n",
      "curs\n",
      "curse\n",
      "curtishanson\n",
      "cusp\n",
      "custodi\n",
      "custody\n",
      "custom\n",
      "cut\n",
      "cutthroat\n",
      "cynic\n",
      "dad\n",
      "daili\n",
      "dakotafan\n",
      "dale\n",
      "damag\n",
      "damien\n",
      "damon\n",
      "dan\n",
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      "danaykroyd\n",
      "danc\n",
      "dance\n",
      "dancer\n",
      "danger\n",
      "daniel\n",
      "danielcraig\n",
      "danielday\n",
      "danielradcliff\n",
      "danish\n",
      "danni\n",
      "danny\n",
      "dannyboyl\n",
      "dannydevito\n",
      "dannyglov\n",
      "dannymcbrid\n",
      "dare\n",
      "dark\n",
      "darkest\n",
      "darkness\n",
      "darrenaronofski\n",
      "darrenlynnbousman\n",
      "darryl\n",
      "daryl\n",
      "darylhannah\n",
      "dash\n",
      "dastardli\n",
      "date\n",
      "dates\n",
      "daughter\n",
      "daughters\n",
      "dave\n",
      "davechappel\n",
      "davi\n",
      "david\n",
      "davidarquett\n",
      "daviday\n",
      "davidbow\n",
      "davidcronenberg\n",
      "davidcross\n",
      "davidduchovni\n",
      "davidfinch\n",
      "davidgordongreen\n",
      "davidkoepp\n",
      "davidmors\n",
      "davido\n",
      "davidoyelowo\n",
      "davidr\n",
      "davidschwimm\n",
      "davidspad\n",
      "davidstrathairn\n",
      "davidthewli\n",
      "davidzuck\n",
      "dawn\n",
      "daxshepard\n",
      "day\n",
      "days\n",
      "dc\n",
      "dea\n",
      "dead\n",
      "deadli\n",
      "deadliest\n",
      "deal\n",
      "dealer\n",
      "dean\n",
      "death\n",
      "debt\n",
      "debut\n",
      "decad\n",
      "decades\n",
      "deceas\n",
      "deceit\n",
      "decept\n",
      "decid\n",
      "decim\n",
      "decis\n",
      "decision\n",
      "declar\n",
      "declin\n",
      "decor\n",
      "dedic\n",
      "deed\n",
      "deep\n",
      "deeper\n",
      "deepli\n",
      "defeat\n",
      "defend\n",
      "defens\n",
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      "defin\n",
      "definit\n",
      "deforestkelley\n",
      "deke\n",
      "delight\n",
      "deliv\n",
      "deliveri\n",
      "delroylindo\n",
      "delta\n",
      "delv\n",
      "demand\n",
      "demimoor\n",
      "demon\n",
      "demons\n",
      "deni\n",
      "deniserichard\n",
      "denisleari\n",
      "denni\n",
      "dennisdugan\n",
      "dennishopp\n",
      "dennisquaid\n",
      "dent\n",
      "dentist\n",
      "denzelwashington\n",
      "depart\n",
      "department\n",
      "depend\n",
      "depict\n",
      "deposit\n",
      "depress\n",
      "depression\n",
      "depth\n",
      "deputi\n",
      "derang\n",
      "derek\n",
      "derekluk\n",
      "dermotmulroney\n",
      "descend\n",
      "describ\n",
      "desert\n",
      "design\n",
      "desir\n",
      "desk\n",
      "desol\n",
      "despair\n",
      "desper\n",
      "despit\n",
      "destin\n",
      "destini\n",
      "destiny\n",
      "destroy\n",
      "destroyed\n",
      "destruct\n",
      "destruction\n",
      "detect\n",
      "detective\n",
      "detent\n",
      "determin\n",
      "detroit\n",
      "deuc\n",
      "devast\n",
      "develop\n",
      "devic\n",
      "devil\n",
      "devilish\n",
      "deviou\n",
      "devis\n",
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      "diabol\n",
      "diagnos\n",
      "diamond\n",
      "dian\n",
      "diana\n",
      "diane\n",
      "dianekeaton\n",
      "dianekrug\n",
      "dianelan\n",
      "dick\n",
      "dictat\n",
      "did\n",
      "didn\n",
      "die\n",
      "died\n",
      "diego\n",
      "dies\n",
      "differ\n",
      "different\n",
      "difficult\n",
      "difficulti\n",
      "dig\n",
      "dil\n",
      "dilemma\n",
      "diner\n",
      "dinner\n",
      "dinosaur\n",
      "diplomat\n",
      "dire\n",
      "direct\n",
      "director\n",
      "directori\n",
      "dirt\n",
      "dirti\n",
      "disappear\n",
      "disappeared\n",
      "disappears\n",
      "disapprov\n",
      "disast\n",
      "disaster\n",
      "disastr\n",
      "discov\n",
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      "discovery\n",
      "discuss\n",
      "diseas\n",
      "disease\n",
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      "disgrac\n",
      "disguis\n",
      "disillus\n",
      "disney\n",
      "disord\n",
      "dispatch\n",
      "disput\n",
      "disrupt\n",
      "distanc\n",
      "distant\n",
      "distract\n",
      "district\n",
      "disturb\n",
      "ditch\n",
      "diva\n",
      "divid\n",
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      "divorc\n",
      "divorce\n",
      "dj\n",
      "dna\n",
      "doc\n",
      "doctor\n",
      "document\n",
      "documentari\n",
      "documentary\n",
      "dodg\n",
      "doe\n",
      "doesn\n",
      "dog\n",
      "doll\n",
      "dollar\n",
      "dolphin\n",
      "dolphlundgren\n",
      "domest\n",
      "domin\n",
      "domination\n",
      "don\n",
      "donaldpetri\n",
      "donaldsutherland\n",
      "doncheadl\n",
      "donnel\n",
      "doom\n",
      "door\n",
      "doorstep\n",
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      "doubl\n",
      "double\n",
      "doubt\n",
      "doug\n",
      "dougla\n",
      "dougliman\n",
      "dr\n",
      "dracula\n",
      "drag\n",
      "dragon\n",
      "drama\n",
      "dramat\n",
      "drastic\n",
      "draw\n",
      "drawn\n",
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      "dream\n",
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      "drift\n",
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      "drive\n",
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      "drop\n",
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      "dwaynejohnson\n",
      "dylan\n",
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      "earth\n",
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      "east\n",
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      "eat\n",
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      "econom\n",
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      "edwardnorton\n",
      "edwardzwick\n",
      "effect\n",
      "effort\n",
      "egg\n",
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      "egyptian\n",
      "el\n",
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      "elect\n",
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      "elena\n",
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      "eliaskotea\n",
      "elijahwood\n",
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      "elisabethshu\n",
      "elit\n",
      "elite\n",
      "elizabeth\n",
      "elizabethbank\n",
      "ella\n",
      "ellenburstyn\n",
      "ellenpag\n",
      "elli\n",
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      "elliott\n",
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      "elud\n",
      "elus\n",
      "elv\n",
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      "embark\n",
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      "emerg\n",
      "emilehirsch\n",
      "emili\n",
      "emilyblunt\n",
      "emilymortim\n",
      "emilywatson\n",
      "emma\n",
      "emmarobert\n",
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      "emmathompson\n",
      "emmawatson\n",
      "emot\n",
      "emperor\n",
      "empir\n",
      "empire\n",
      "employ\n",
      "employe\n",
      "employer\n",
      "enabl\n",
      "encount\n",
      "encourag\n",
      "end\n",
      "endless\n",
      "endur\n",
      "enemi\n",
      "enemies\n",
      "enemy\n",
      "energi\n",
      "enforc\n",
      "engag\n",
      "engin\n",
      "england\n",
      "english\n",
      "enigmat\n",
      "enjoy\n",
      "enlist\n",
      "enorm\n",
      "enrol\n",
      "enslav\n",
      "ensu\n",
      "ensues\n",
      "ensur\n",
      "entangl\n",
      "enter\n",
      "enterpris\n",
      "entertain\n",
      "enthusiast\n",
      "entir\n",
      "entiti\n",
      "environ\n",
      "environment\n",
      "epic\n",
      "epidem\n",
      "episod\n",
      "equal\n",
      "equip\n",
      "er\n",
      "era\n",
      "eric\n",
      "ericbana\n",
      "erin\n",
      "ernest\n",
      "erot\n",
      "erupt\n",
      "escap\n",
      "escape\n",
      "escort\n",
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      "establish\n",
      "estat\n",
      "esteem\n",
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      "etern\n",
      "ethan\n",
      "ethanhawk\n",
      "ethic\n",
      "eugenelevi\n",
      "europ\n",
      "european\n",
      "eva\n",
      "evad\n",
      "evamend\n",
      "evanrachelwood\n",
      "eve\n",
      "evening\n",
      "event\n",
      "events\n",
      "eventu\n",
      "eventually\n",
      "everi\n",
      "everybodi\n",
      "everyday\n",
      "everyon\n",
      "everyth\n",
      "evid\n",
      "evil\n",
      "evolv\n",
      "ewanmcgregor\n",
      "ex\n",
      "exact\n",
      "exactli\n",
      "examin\n",
      "exchang\n",
      "excit\n",
      "exclus\n",
      "excus\n",
      "execut\n",
      "exil\n",
      "exist\n",
      "existence\n",
      "exot\n",
      "expect\n",
      "expectations\n",
      "expected\n",
      "expedit\n",
      "expens\n",
      "experi\n",
      "experienc\n",
      "experience\n",
      "experiment\n",
      "expert\n",
      "explain\n",
      "explod\n",
      "exploit\n",
      "explor\n",
      "explos\n",
      "expos\n",
      "extend\n",
      "extra\n",
      "extraordinari\n",
      "extraterrestri\n",
      "extrem\n",
      "eye\n",
      "eyes\n",
      "fabl\n",
      "fac\n",
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      "facil\n",
      "facility\n",
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      "family\n",
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      "far\n",
      "farm\n",
      "farmer\n",
      "farmhouse\n",
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      "faster\n",
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      "female\n",
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      "fi\n",
      "fiance\n",
      "fiancé\n",
      "fiancée\n",
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      "figur\n",
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      "fil\n",
      "file\n",
      "film\n",
      "filmmak\n",
      "films\n",
      "final\n",
      "finale\n",
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      "flood\n",
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      "florida\n",
      "flower\n",
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      "forth\n",
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      "fourteen\n",
      "fourth\n",
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      "fragil\n",
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      "franc\n",
      "france\n",
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      "freddieprinzejr\n",
      "freddy\n",
      "fredzinnemann\n",
      "free\n",
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      "fresh\n",
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      "friendship\n",
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      "ga\n",
      "gabriel\n",
      "gabrielbyrn\n",
      "gadget\n",
      "gaelgarcíabern\n",
      "gain\n",
      "galact\n",
      "galaxi\n",
      "galaxy\n",
      "gale\n",
      "gambl\n",
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      "game\n",
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      "gandhi\n",
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      "garretthedlund\n",
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      "garyfled\n",
      "garygray\n",
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      "george\n",
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      "german\n",
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      "girl\n",
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      "girls\n",
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      "glenn\n",
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      "globe\n",
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      "glory\n",
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      "god\n",
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      "gold\n",
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      "govern\n",
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      "graci\n",
      "grad\n",
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      "grand\n",
      "grandfath\n",
      "grandfather\n",
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      "grandmother\n",
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      "graphic\n",
      "grasp\n",
      "grave\n",
      "great\n",
      "greater\n",
      "greatest\n",
      "greed\n",
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      "greek\n",
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      "greg\n",
      "gregkinnear\n",
      "gregorypeck\n",
      "grew\n",
      "grief\n",
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      "guidanc\n",
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      "gulf\n",
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      "ha\n",
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      "half\n",
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      "han\n",
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      "handsom\n",
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      "hankazaria\n",
      "hannah\n",
      "hansel\n",
      "hapless\n",
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      "heart\n",
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      "heat\n",
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      "heathledg\n",
      "heaven\n",
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      "held\n",
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      "helenabonhamcart\n",
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      "help\n",
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      "henri\n",
      "henrythoma\n",
      "hero\n",
      "heroes\n",
      "heroic\n",
      "heroin\n",
      "hi\n",
      "hidden\n",
      "hide\n",
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      "highland\n",
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      "hijack\n",
      "hilari\n",
      "hilaryduff\n",
      "hilaryswank\n",
      "hill\n",
      "hills\n",
      "hip\n",
      "hire\n",
      "histor\n",
      "histori\n",
      "history\n",
      "hit\n",
      "hitch\n",
      "hitchhik\n",
      "hitler\n",
      "hitman\n",
      "ho\n",
      "hockey\n",
      "hoffman\n",
      "hold\n",
      "holden\n",
      "hole\n",
      "holi\n",
      "holiday\n",
      "holli\n",
      "hollyhunt\n",
      "hollywood\n",
      "home\n",
      "homeland\n",
      "homeless\n",
      "hometown\n",
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      "honest\n",
      "honey\n",
      "honeymoon\n",
      "hong\n",
      "honor\n",
      "hood\n",
      "hook\n",
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      "hopedavi\n",
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      "hord\n",
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      "hors\n",
      "hospit\n",
      "hospital\n",
      "host\n",
      "hostag\n",
      "hostil\n",
      "hot\n",
      "hotel\n",
      "hotshot\n",
      "hottest\n",
      "hour\n",
      "hous\n",
      "house\n",
      "household\n",
      "housewif\n",
      "howard\n",
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      "hud\n",
      "hudson\n",
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      "hughgrant\n",
      "hughjackman\n",
      "human\n",
      "humanity\n",
      "humankind\n",
      "humans\n",
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      "humor\n",
      "hundr\n",
      "hunger\n",
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      "hunt\n",
      "hunted\n",
      "hunter\n",
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      "hurt\n",
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      "husband\n",
      "hustler\n",
      "hypnot\n",
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      "hyun\n",
      "ianholm\n",
      "ianmckellen\n",
      "ice\n",
      "icecub\n",
      "icon\n",
      "idea\n",
      "ideal\n",
      "idealist\n",
      "ident\n",
      "identity\n",
      "idol\n",
      "idyl\n",
      "ignit\n",
      "ignor\n",
      "ii\n",
      "iii\n",
      "il\n",
      "ill\n",
      "illeg\n",
      "illicit\n",
      "illness\n",
      "illustr\n",
      "imag\n",
      "imagin\n",
      "imaginari\n",
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      "impact\n",
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      "imprison\n",
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      "inadvert\n",
      "incid\n",
      "includ\n",
      "increas\n",
      "increasingli\n",
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      "independ\n",
      "independence\n",
      "indi\n",
      "india\n",
      "indian\n",
      "indiana\n",
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      "industri\n",
      "industry\n",
      "inept\n",
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      "infect\n",
      "infiltr\n",
      "influenc\n",
      "influenti\n",
      "inform\n",
      "inhabit\n",
      "inherit\n",
      "initi\n",
      "inject\n",
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      "injuri\n",
      "inmat\n",
      "inner\n",
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      "innocence\n",
      "insan\n",
      "insecur\n",
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      "insight\n",
      "insist\n",
      "inspector\n",
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      "instal\n",
      "instant\n",
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      "instead\n",
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      "institution\n",
      "instructor\n",
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      "intellig\n",
      "intend\n",
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      "intent\n",
      "interact\n",
      "interfer\n",
      "intergalact\n",
      "intern\n",
      "internet\n",
      "interrog\n",
      "intersect\n",
      "intertwin\n",
      "interview\n",
      "intim\n",
      "intrepid\n",
      "intric\n",
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      "introduc\n",
      "invad\n",
      "invaders\n",
      "invas\n",
      "invent\n",
      "inventor\n",
      "invest\n",
      "investig\n",
      "investigate\n",
      "invis\n",
      "invit\n",
      "involv\n",
      "iowa\n",
      "ira\n",
      "iranian\n",
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      "irish\n",
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      "isaiahwashington\n",
      "ishmael\n",
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      "israel\n",
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      "itali\n",
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      "jack\n",
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      "jackiechan\n",
      "jacklemmon\n",
      "jacknicholson\n",
      "jackson\n",
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      "jadapinkettsmith\n",
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      "jamal\n",
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      "jamescameron\n",
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      "jamiefoxx\n",
      "jamieleecurti\n",
      "jan\n",
      "jandebont\n",
      "jane\n",
      "janeiro\n",
      "janetjackson\n",
      "japan\n",
      "japanes\n",
      "jaredleto\n",
      "jason\n",
      "jasonbateman\n",
      "jasonbigg\n",
      "jasonfriedberg\n",
      "jasonisaac\n",
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      "jasonschwartzman\n",
      "jasonsegel\n",
      "jasonstatham\n",
      "jaumecollet\n",
      "javierbardem\n",
      "jay\n",
      "jaychandrasekhar\n",
      "jayroach\n",
      "jazz\n",
      "jealou\n",
      "jealous\n",
      "jealousi\n",
      "jean\n",
      "jeann\n",
      "jeanreno\n",
      "jedi\n",
      "jeff\n",
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      "jeffdaniel\n",
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      "jeffgoldblum\n",
      "jeffrey\n",
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      "jenamalon\n",
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      "jenniferaniston\n",
      "jenniferconnelli\n",
      "jennifergarn\n",
      "jenniferjasonleigh\n",
      "jenniferlawr\n",
      "jenniferlopez\n",
      "jenniferlovehewitt\n",
      "jennifertilli\n",
      "jeopard\n",
      "jeremyiron\n",
      "jeremynortham\n",
      "jeremypiven\n",
      "jeremyrenn\n",
      "jerri\n",
      "jersey\n",
      "jerusalem\n",
      "jess\n",
      "jessebradford\n",
      "jesseeisenberg\n",
      "jessica\n",
      "jessicaalba\n",
      "jessicabiel\n",
      "jessicachastain\n",
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      "jesus\n",
      "jetli\n",
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      "jimbroadb\n",
      "jimcarrey\n",
      "jimcaviezel\n",
      "jimmi\n",
      "jimmy\n",
      "jin\n",
      "joan\n",
      "joanallen\n",
      "joanchen\n",
      "joancusack\n",
      "joaquinphoenix\n",
      "job\n",
      "jobs\n",
      "jock\n",
      "jodi\n",
      "jodiefost\n",
      "joe\n",
      "joedant\n",
      "joel\n",
      "joelcoen\n",
      "joeledgerton\n",
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      "joewright\n",
      "joey\n",
      "joeylaurenadam\n",
      "john\n",
      "johnc\n",
      "johncarpent\n",
      "johncusack\n",
      "johngoodman\n",
      "johnhurt\n",
      "johnkrasinski\n",
      "johnleguizamo\n",
      "johnlithgow\n",
      "johnmadden\n",
      "johnmalkovich\n",
      "johnmctiernan\n",
      "johnni\n",
      "johnny\n",
      "johnnydepp\n",
      "johnnyknoxvil\n",
      "johnsingleton\n",
      "johnson\n",
      "johntravolta\n",
      "johnturturro\n",
      "johnwayn\n",
      "johnwhitesel\n",
      "johnwoo\n",
      "join\n",
      "jon\n",
      "jonahhil\n",
      "jonathan\n",
      "jonathandemm\n",
      "jonathanfrak\n",
      "jonathanliebesman\n",
      "jonathanpryc\n",
      "jonathanrhysmey\n",
      "jone\n",
      "jones\n",
      "jonfavreau\n",
      "jonhed\n",
      "jonm\n",
      "jonnyleemil\n",
      "jonturteltaub\n",
      "jonvoight\n",
      "jordan\n",
      "jordanabrewst\n",
      "joseph\n",
      "josephfienn\n",
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      "josh\n",
      "joshbrolin\n",
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      "joshhartnett\n",
      "joshhutcherson\n",
      "joshluca\n",
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      "journal\n",
      "journalist\n",
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      "joy\n",
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      "juan\n",
      "judelaw\n",
      "judg\n",
      "judge\n",
      "judgereinhold\n",
      "judidench\n",
      "judith\n",
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      "jump\n",
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      "just\n",
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      "justice\n",
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      "justinlong\n",
      "justintimberlak\n",
      "kansa\n",
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      "katherin\n",
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      "kelli\n",
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      "key\n",
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      "kids\n",
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      "killed\n",
      "killer\n",
      "killers\n",
      "killing\n",
      "kim\n",
      "kimbasing\n",
      "kind\n",
      "kindli\n",
      "king\n",
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      "kirk\n",
      "kirstendunst\n",
      "kit\n",
      "kitchen\n",
      "knew\n",
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      "know\n",
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      "kriskristofferson\n",
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      "ladi\n",
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      "laid\n",
      "lake\n",
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      "landscap\n",
      "landscape\n",
      "lane\n",
      "languag\n",
      "lapd\n",
      "lara\n",
      "larg\n",
      "larger\n",
      "largest\n",
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      "lassehallström\n",
      "late\n",
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      "latest\n",
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      "laugh\n",
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      "lavish\n",
      "law\n",
      "lawman\n",
      "lawrenc\n",
      "lawyer\n",
      "lay\n",
      "lazi\n",
      "le\n",
      "lead\n",
      "leader\n",
      "leadership\n",
      "leagu\n",
      "learn\n",
      "leathompson\n",
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      "led\n",
      "lee\n",
      "left\n",
      "leg\n",
      "legaci\n",
      "legacy\n",
      "legal\n",
      "legend\n",
      "legendari\n",
      "legends\n",
      "legion\n",
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      "length\n",
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      "leonardodicaprio\n",
      "lesbian\n",
      "lesliemann\n",
      "leslienielsen\n",
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      "lethal\n",
      "letter\n",
      "level\n",
      "levitt\n",
      "lewi\n",
      "li\n",
      "liaison\n",
      "liamhemsworth\n",
      "liamneeson\n",
      "liber\n",
      "lie\n",
      "lieuten\n",
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      "lif\n",
      "life\n",
      "lifelong\n",
      "lifestyl\n",
      "lifestyle\n",
      "lifetim\n",
      "lifetime\n",
      "lift\n",
      "light\n",
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      "lik\n",
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      "lili\n",
      "lillywachowski\n",
      "limit\n",
      "lincoln\n",
      "linda\n",
      "lindsaylohan\n",
      "line\n",
      "lines\n",
      "link\n",
      "lion\n",
      "lisa\n",
      "lisakudrow\n",
      "list\n",
      "listen\n",
      "liter\n",
      "literari\n",
      "littl\n",
      "little\n",
      "live\n",
      "lives\n",
      "living\n",
      "liz\n",
      "lizzi\n",
      "ll\n",
      "llcoolj\n",
      "lloyd\n",
      "lo\n",
      "loan\n",
      "local\n",
      "locat\n",
      "lock\n",
      "logan\n",
      "loganlerman\n",
      "lola\n",
      "london\n",
      "lone\n",
      "long\n",
      "longer\n",
      "longtim\n",
      "look\n",
      "loos\n",
      "loose\n",
      "loot\n",
      "lord\n",
      "lose\n",
      "loser\n",
      "loss\n",
      "lost\n",
      "lot\n",
      "lou\n",
      "loui\n",
      "louisiana\n",
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      "lov\n",
      "lovabl\n",
      "love\n",
      "loveless\n",
      "lover\n",
      "loves\n",
      "low\n",
      "loyal\n",
      "loyalti\n",
      "lt\n",
      "luc\n",
      "luca\n",
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      "luck\n",
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      "lucy\n",
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      "ma\n",
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      "machin\n",
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      "madness\n",
      "madonna\n",
      "mafia\n",
      "magazin\n",
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      "maggiegyllenha\n",
      "magic\n",
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      "mahoney\n",
      "maid\n",
      "mail\n",
      "main\n",
      "maintain\n",
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      "malcolm\n",
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      "male\n",
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      "malinåkerman\n",
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      "mandela\n",
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      "manhattan\n",
      "manhood\n",
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      "maniac\n",
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      "mankind\n",
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      "manner\n",
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      "mansion\n",
      "manufactur\n",
      "map\n",
      "mar\n",
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      "march\n",
      "marciagayharden\n",
      "marcu\n",
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      "mariah\n",
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      "marin\n",
      "marioncotillard\n",
      "marisatomei\n",
      "mark\n",
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      "markruffalo\n",
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      "markwahlberg\n",
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      "married\n",
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      "martincampbel\n",
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      "martinlawr\n",
      "martinscorses\n",
      "mary\n",
      "marymccormack\n",
      "mask\n",
      "mass\n",
      "massiv\n",
      "master\n",
      "mastermind\n",
      "match\n",
      "mate\n",
      "materi\n",
      "matrix\n",
      "matt\n",
      "mattdamon\n",
      "mattdillon\n",
      "matter\n",
      "matthew\n",
      "matthewbroderick\n",
      "matthewlillard\n",
      "matthewmcconaughey\n",
      "matur\n",
      "mauric\n",
      "maverick\n",
      "max\n",
      "maxvonsydow\n",
      "maxwel\n",
      "maya\n",
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      "mayhem\n",
      "mayor\n",
      "mccall\n",
      "mcclane\n",
      "mcg\n",
      "mcphee\n",
      "meagangood\n",
      "mean\n",
      "meaning\n",
      "means\n",
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      "media\n",
      "medic\n",
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      "meet\n",
      "meg\n",
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      "megan\n",
      "meganfox\n",
      "megryan\n",
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      "melani\n",
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      "melissa\n",
      "melissageorg\n",
      "melissamccarthi\n",
      "melt\n",
      "melvin\n",
      "member\n",
      "members\n",
      "memoir\n",
      "memori\n",
      "memory\n",
      "men\n",
      "menac\n",
      "mental\n",
      "mentor\n",
      "mercenari\n",
      "merchant\n",
      "merciless\n",
      "mere\n",
      "merylstreep\n",
      "messag\n",
      "met\n",
      "metal\n",
      "method\n",
      "meticul\n",
      "metro\n",
      "mexican\n",
      "mexico\n",
      "mia\n",
      "miami\n",
      "mica\n",
      "michael\n",
      "michaelangarano\n",
      "michaelapt\n",
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      "michaelbiehn\n",
      "michaelcain\n",
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      "michaeleali\n",
      "michaelfassbend\n",
      "michaelj\n",
      "michaeljaiwhit\n",
      "michaelkeaton\n",
      "michaelmadsen\n",
      "michaelmann\n",
      "michaelmoor\n",
      "michaelpeña\n",
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      "michaelshannon\n",
      "michaelsheen\n",
      "michaelwinterbottom\n",
      "michel\n",
      "michellemonaghan\n",
      "michellepfeiff\n",
      "michellerodriguez\n",
      "michellewilliam\n",
      "michigan\n",
      "mickey\n",
      "mickeyrourk\n",
      "mid\n",
      "middl\n",
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      "midwest\n",
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      "mighti\n",
      "mike\n",
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      "mild\n",
      "mile\n",
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      "militari\n",
      "millajovovich\n",
      "miller\n",
      "million\n",
      "millionair\n",
      "milo\n",
      "mind\n",
      "miner\n",
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      "miracl\n",
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      "miranda\n",
      "mirandarichardson\n",
      "mirror\n",
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      "mischiev\n",
      "miser\n",
      "misfit\n",
      "misguid\n",
      "mismatch\n",
      "miss\n",
      "missil\n",
      "missing\n",
      "mission\n",
      "mississippi\n",
      "mistak\n",
      "mistaken\n",
      "mistakenli\n",
      "mistress\n",
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      "mitchel\n",
      "mix\n",
      "mob\n",
      "mobster\n",
      "model\n",
      "modern\n",
      "mole\n",
      "molli\n",
      "mom\n",
      "moment\n",
      "money\n",
      "monica\n",
      "monk\n",
      "monkey\n",
      "monster\n",
      "monsters\n",
      "monstrou\n",
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      "months\n",
      "montreal\n",
      "moon\n",
      "moonlight\n",
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      "moore\n",
      "moral\n",
      "morgan\n",
      "morganfreeman\n",
      "mormon\n",
      "morn\n",
      "morrischestnut\n",
      "mortal\n",
      "moscow\n",
      "mostli\n",
      "motel\n",
      "mother\n",
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      "motley\n",
      "motor\n",
      "motorcycl\n",
      "mount\n",
      "mountain\n",
      "mountains\n",
      "mous\n",
      "mouth\n",
      "movement\n",
      "movi\n",
      "movie\n",
      "movies\n",
      "mr\n",
      "multi\n",
      "multipl\n",
      "murder\n",
      "murdered\n",
      "murderer\n",
      "murphi\n",
      "murray\n",
      "muse\n",
      "museum\n",
      "music\n",
      "musician\n",
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      "mutual\n",
      "myle\n",
      "mysteri\n",
      "mysterious\n",
      "mystery\n",
      "mystic\n",
      "myth\n",
      "mythic\n",
      "nab\n",
      "nail\n",
      "naiv\n",
      "nam\n",
      "nanci\n",
      "nanni\n",
      "naomiwatt\n",
      "napoleon\n",
      "narcot\n",
      "narrat\n",
      "nasa\n",
      "nasti\n",
      "natalieportman\n",
      "natasha\n",
      "natashalyonn\n",
      "nate\n",
      "nathan\n",
      "nathanfillion\n",
      "nation\n",
      "nativ\n",
      "natur\n",
      "nature\n",
      "navi\n",
      "navig\n",
      "nazi\n",
      "nba\n",
      "neal\n",
      "near\n",
      "nearbi\n",
      "nearli\n",
      "necessari\n",
      "neck\n",
      "ned\n",
      "need\n",
      "nefari\n",
      "neglect\n",
      "negoti\n",
      "neighbor\n",
      "neighborhood\n",
      "neighbors\n",
      "neighbour\n",
      "neil\n",
      "neiljordan\n",
      "nelson\n",
      "nemesi\n",
      "nemesis\n",
      "neo\n",
      "nephew\n",
      "nephi\n",
      "nerdi\n",
      "ness\n",
      "network\n",
      "nevada\n",
      "nevecampbel\n",
      "new\n",
      "newborn\n",
      "newcom\n",
      "newfound\n",
      "newli\n",
      "newly\n",
      "newlyw\n",
      "news\n",
      "newspap\n",
      "nialong\n",
      "nice\n",
      "nichola\n",
      "nicholasstol\n",
      "nick\n",
      "nickcassavet\n",
      "nickfrost\n",
      "nicknolt\n",
      "nicol\n",
      "nicolascag\n",
      "nicolekidman\n",
      "niec\n",
      "niece\n",
      "night\n",
      "nightclub\n",
      "nightmar\n",
      "nightmare\n",
      "nightmarish\n",
      "nightshyamalan\n",
      "ninja\n",
      "nobl\n",
      "nobleman\n",
      "nobodi\n",
      "nomad\n",
      "nomin\n",
      "non\n",
      "normal\n",
      "norman\n",
      "north\n",
      "northern\n",
      "note\n",
      "noth\n",
      "notic\n",
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      "nova\n",
      "novel\n",
      "novelist\n",
      "nowher\n",
      "nuclear\n",
      "number\n",
      "numer\n",
      "nun\n",
      "nurs\n",
      "nypd\n",
      "object\n",
      "obscur\n",
      "observ\n",
      "obsess\n",
      "obsession\n",
      "obstacl\n",
      "obtain\n",
      "occasion\n",
      "occup\n",
      "occupi\n",
      "occur\n",
      "occurr\n",
      "ocean\n",
      "odd\n",
      "oddbal\n",
      "odds\n",
      "odyssey\n",
      "offer\n",
      "offic\n",
      "office\n",
      "officer\n",
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      "ohio\n",
      "oil\n",
      "old\n",
      "older\n",
      "olgakurylenko\n",
      "oliv\n",
      "oliverston\n",
      "olivia\n",
      "oliviawild\n",
      "oliviawilliam\n",
      "olymp\n",
      "omar\n",
      "onc\n",
      "onli\n",
      "onlin\n",
      "onofrio\n",
      "op\n",
      "open\n",
      "openli\n",
      "oper\n",
      "opera\n",
      "operation\n",
      "opinion\n",
      "opportun\n",
      "oppos\n",
      "opposit\n",
      "oppress\n",
      "orchestr\n",
      "order\n",
      "ordinari\n",
      "oregon\n",
      "organ\n",
      "organization\n",
      "ori\n",
      "origin\n",
      "origins\n",
      "orlandobloom\n",
      "orlean\n",
      "orphan\n",
      "orphanage\n",
      "oscar\n",
      "oscarisaac\n",
      "ossiedavi\n",
      "otherworldli\n",
      "outback\n",
      "outbreak\n",
      "outcast\n",
      "outer\n",
      "outlaw\n",
      "outrag\n",
      "outsid\n",
      "outwit\n",
      "overcom\n",
      "overnight\n",
      "overrun\n",
      "overthrow\n",
      "overwhelm\n",
      "owen\n",
      "owenwilson\n",
      "owl\n",
      "owner\n",
      "oz\n",
      "pacif\n",
      "pack\n",
      "packag\n",
      "pact\n",
      "page\n",
      "pageant\n",
      "paid\n",
      "pain\n",
      "paint\n",
      "painter\n",
      "pair\n",
      "pal\n",
      "palmer\n",
      "pam\n",
      "pan\n",
      "pandora\n",
      "panic\n",
      "paper\n",
      "parallel\n",
      "paranoid\n",
      "paranorm\n",
      "parent\n",
      "parents\n",
      "pari\n",
      "paris\n",
      "parisian\n",
      "park\n",
      "parker\n",
      "parrish\n",
      "parti\n",
      "particip\n",
      "particularli\n",
      "parties\n",
      "partner\n",
      "partners\n",
      "partnership\n",
      "party\n",
      "pass\n",
      "passeng\n",
      "passion\n",
      "past\n",
      "pastor\n",
      "path\n",
      "patient\n",
      "patriarch\n",
      "patriciaarquett\n",
      "patriciaclarkson\n",
      "patrick\n",
      "patrickstewart\n",
      "patrickwilson\n",
      "patrol\n",
      "patti\n",
      "paul\n",
      "paula\n",
      "paulapatton\n",
      "paulbettani\n",
      "paulgiamatti\n",
      "paulgreengrass\n",
      "paulnewman\n",
      "paulrudd\n",
      "paulschrad\n",
      "paulsorvino\n",
      "paulthomasanderson\n",
      "paulw\n",
      "paulwalk\n",
      "pawn\n",
      "pay\n",
      "peac\n",
      "peace\n",
      "pearl\n",
      "peasant\n",
      "peer\n",
      "penguin\n",
      "penguins\n",
      "penn\n",
      "pennsylvania\n",
      "penélopecruz\n",
      "peopl\n",
      "people\n",
      "perci\n",
      "perez\n",
      "perfect\n",
      "perform\n",
      "performance\n",
      "perhap\n",
      "peril\n",
      "period\n",
      "perman\n",
      "perry\n",
      "persian\n",
      "person\n",
      "persuad\n",
      "pet\n",
      "pete\n",
      "peter\n",
      "peterberg\n",
      "peterhyam\n",
      "peterjackson\n",
      "petersarsgaard\n",
      "peterseg\n",
      "petti\n",
      "phil\n",
      "philipp\n",
      "philipseymourhoffman\n",
      "phillip\n",
      "phillipnoyc\n",
      "philosoph\n",
      "phone\n",
      "photo\n",
      "photograph\n",
      "photographer\n",
      "physic\n",
      "physician\n",
      "piano\n",
      "picard\n",
      "pick\n",
      "pictur\n",
      "picture\n",
      "piec\n",
      "piercebrosnan\n",
      "pierr\n",
      "pierre\n",
      "pig\n",
      "pilot\n",
      "pimp\n",
      "pink\n",
      "piperperabo\n",
      "pirat\n",
      "pit\n",
      "pitch\n",
      "place\n",
      "places\n",
      "plagu\n",
      "plain\n",
      "plan\n",
      "plane\n",
      "planet\n",
      "plans\n",
      "plant\n",
      "plastic\n",
      "platon\n",
      "play\n",
      "playboy\n",
      "player\n",
      "players\n",
      "playwright\n",
      "pleasur\n",
      "pledg\n",
      "plenti\n",
      "plot\n",
      "plu\n",
      "plung\n",
      "po\n",
      "poet\n",
      "point\n",
      "poison\n",
      "poker\n",
      "polar\n",
      "pole\n",
      "polic\n",
      "police\n",
      "policeman\n",
      "polit\n",
      "politician\n",
      "polli\n",
      "pool\n",
      "poor\n",
      "pop\n",
      "popul\n",
      "popular\n",
      "population\n",
      "porn\n",
      "port\n",
      "portal\n",
      "porter\n",
      "portrait\n",
      "portray\n",
      "pose\n",
      "posit\n",
      "possess\n",
      "possibl\n",
      "post\n",
      "pot\n",
      "potenti\n",
      "potter\n",
      "pound\n",
      "poverti\n",
      "pow\n",
      "power\n",
      "powers\n",
      "practic\n",
      "prank\n",
      "pre\n",
      "preciou\n",
      "predat\n",
      "predict\n",
      "prefer\n",
      "pregnant\n",
      "prehistor\n",
      "prejudic\n",
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      "present\n",
      "presid\n",
      "president\n",
      "presidenti\n",
      "press\n",
      "pressur\n",
      "prestigi\n",
      "presum\n",
      "pretend\n",
      "pretti\n",
      "prevent\n",
      "previou\n",
      "prey\n",
      "price\n",
      "priceless\n",
      "pride\n",
      "priest\n",
      "prime\n",
      "princ\n",
      "prince\n",
      "princess\n",
      "princip\n",
      "principl\n",
      "prior\n",
      "prison\n",
      "privat\n",
      "privileg\n",
      "prize\n",
      "pro\n",
      "probabl\n",
      "probe\n",
      "problem\n",
      "problems\n",
      "procedur\n",
      "process\n",
      "prodigi\n",
      "produc\n",
      "producer\n",
      "product\n",
      "production\n",
      "profession\n",
      "professor\n",
      "profil\n",
      "profit\n",
      "profoundli\n",
      "program\n",
      "progress\n",
      "project\n",
      "prom\n",
      "promin\n",
      "promis\n",
      "promot\n",
      "prompt\n",
      "promptli\n",
      "proof\n",
      "properti\n",
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      "propos\n",
      "prospect\n",
      "prostitut\n",
      "prostitute\n",
      "protagonist\n",
      "protect\n",
      "protest\n",
      "protégé\n",
      "proud\n",
      "prove\n",
      "provid\n",
      "psychiatr\n",
      "psychiatrist\n",
      "psychic\n",
      "psycholog\n",
      "psychologist\n",
      "psychopath\n",
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      "public\n",
      "publicist\n",
      "publish\n",
      "pull\n",
      "punish\n",
      "punk\n",
      "puppet\n",
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      "pure\n",
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      "pursuit\n",
      "push\n",
      "quarantin\n",
      "quarterback\n",
      "queen\n",
      "queenlatifah\n",
      "queens\n",
      "quentin\n",
      "quentintarantino\n",
      "quest\n",
      "question\n",
      "quick\n",
      "quickli\n",
      "quiet\n",
      "quirki\n",
      "quit\n",
      "rabbit\n",
      "race\n",
      "racer\n",
      "rachaelleighcook\n",
      "rachel\n",
      "rachelmcadam\n",
      "rachelweisz\n",
      "racial\n",
      "radhamitchel\n",
      "radiat\n",
      "radic\n",
      "radio\n",
      "rafael\n",
      "rag\n",
      "rage\n",
      "ragtag\n",
      "raid\n",
      "railroad\n",
      "rain\n",
      "rais\n",
      "rajagosnel\n",
      "ralli\n",
      "ralph\n",
      "ralphfienn\n",
      "rambo\n",
      "rampag\n",
      "ran\n",
      "ranch\n",
      "randal\n",
      "ranger\n",
      "rank\n",
      "ransom\n",
      "rape\n",
      "rapidli\n",
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      "raw\n",
      "ray\n",
      "rayliotta\n",
      "raymond\n",
      "raywinston\n",
      "reach\n",
      "reaction\n",
      "read\n",
      "readi\n",
      "real\n",
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      "realiti\n",
      "reality\n",
      "realiz\n",
      "realli\n",
      "realm\n",
      "reaper\n",
      "reason\n",
      "rebecca\n",
      "rebeccahal\n",
      "rebel\n",
      "rebelli\n",
      "rebellion\n",
      "rebuild\n",
      "receiv\n",
      "recent\n",
      "recently\n",
      "reckless\n",
      "reclaim\n",
      "reclus\n",
      "reconcil\n",
      "reconnect\n",
      "record\n",
      "recount\n",
      "recov\n",
      "recreat\n",
      "recruit\n",
      "red\n",
      "redeem\n",
      "redempt\n",
      "redemption\n",
      "rediscov\n",
      "reel\n",
      "rees\n",
      "reesewitherspoon\n",
      "reflect\n",
      "reform\n",
      "refug\n",
      "refus\n",
      "regain\n",
      "regard\n",
      "regim\n",
      "reginak\n",
      "region\n",
      "regular\n",
      "reign\n",
      "reilli\n",
      "reilly\n",
      "reject\n",
      "rekindl\n",
      "rel\n",
      "relat\n",
      "relationship\n",
      "relationships\n",
      "relatives\n",
      "releas\n",
      "relentless\n",
      "relentlessli\n",
      "reli\n",
      "relief\n",
      "religi\n",
      "religion\n",
      "reloc\n",
      "reluct\n",
      "reluctantli\n",
      "remain\n",
      "remak\n",
      "remark\n",
      "rememb\n",
      "remind\n",
      "reminisc\n",
      "remot\n",
      "remov\n",
      "render\n",
      "rene\n",
      "renegad\n",
      "renerusso\n",
      "rennyharlin\n",
      "renown\n",
      "rent\n",
      "renéezellweg\n",
      "repair\n",
      "repeat\n",
      "replac\n",
      "report\n",
      "reporter\n",
      "repres\n",
      "repress\n",
      "reput\n",
      "request\n",
      "requir\n",
      "rescu\n",
      "rescue\n",
      "research\n",
      "reserv\n",
      "resid\n",
      "residents\n",
      "resist\n",
      "resistance\n",
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      "resort\n",
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      "resources\n",
      "respect\n",
      "respond\n",
      "respons\n",
      "responsible\n",
      "rest\n",
      "restaur\n",
      "restaurant\n",
      "restless\n",
      "restor\n",
      "result\n",
      "results\n",
      "resurfac\n",
      "resurrect\n",
      "retain\n",
      "retel\n",
      "retir\n",
      "retreat\n",
      "retriev\n",
      "return\n",
      "reunion\n",
      "reunit\n",
      "reveal\n",
      "revealed\n",
      "revel\n",
      "reveng\n",
      "revenge\n",
      "reverend\n",
      "reviv\n",
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      "reward\n",
      "rhode\n",
      "rich\n",
      "richard\n",
      "richardattenborough\n",
      "richardbenjamin\n",
      "richarddonn\n",
      "richarddreyfuss\n",
      "richardger\n",
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      "richardlest\n",
      "richardlinklat\n",
      "richardson\n",
      "rick\n",
      "ricki\n",
      "rickygervai\n",
      "rid\n",
      "riddick\n",
      "ride\n",
      "rider\n",
      "ridicul\n",
      "ridleyscott\n",
      "rig\n",
      "right\n",
      "riley\n",
      "ring\n",
      "rio\n",
      "riot\n",
      "rip\n",
      "ripley\n",
      "rise\n",
      "risk\n",
      "rival\n",
      "rivalri\n",
      "river\n",
      "road\n",
      "roam\n",
      "roar\n",
      "rob\n",
      "robber\n",
      "robberi\n",
      "robbery\n",
      "robcohen\n",
      "robert\n",
      "robertcarlyl\n",
      "robertdeniro\n",
      "robertdowneyjr\n",
      "robertduval\n",
      "robertenglund\n",
      "robertluket\n",
      "robertpattinson\n",
      "robertredford\n",
      "robertrodriguez\n",
      "robertschwentk\n",
      "robertzemecki\n",
      "robin\n",
      "robinson\n",
      "robinwilliam\n",
      "robinwright\n",
      "robot\n",
      "robrein\n",
      "robschneid\n",
      "rock\n",
      "rocket\n",
      "rocki\n",
      "roger\n",
      "rogerdonaldson\n",
      "rogermoor\n",
      "rogu\n",
      "rolandemmerich\n",
      "role\n",
      "roll\n",
      "roller\n",
      "roman\n",
      "romanc\n",
      "romance\n",
      "romanpolanski\n",
      "romant\n",
      "rome\n",
      "romeo\n",
      "romero\n",
      "ron\n",
      "ronhoward\n",
      "ronni\n",
      "ronperlman\n",
      "roof\n",
      "rooki\n",
      "room\n",
      "roommat\n",
      "roommate\n",
      "root\n",
      "rosamundpik\n",
      "rosariodawson\n",
      "rose\n",
      "rosebyrn\n",
      "ross\n",
      "rough\n",
      "round\n",
      "routin\n",
      "row\n",
      "roy\n",
      "royal\n",
      "rubi\n",
      "rugrat\n",
      "ruin\n",
      "rule\n",
      "ruler\n",
      "rules\n",
      "rumor\n",
      "run\n",
      "runaway\n",
      "runner\n",
      "rupertgrint\n",
      "rural\n",
      "rush\n",
      "russel\n",
      "russell\n",
      "russellcrow\n",
      "russia\n",
      "russian\n",
      "rutgerhau\n",
      "ruth\n",
      "ruthless\n",
      "ryan\n",
      "ryangosl\n",
      "ryanphillipp\n",
      "ryanreynold\n",
      "sabotag\n",
      "sachabaroncohen\n",
      "sacr\n",
      "sacrific\n",
      "sadist\n",
      "safe\n",
      "safeti\n",
      "safety\n",
      "saga\n",
      "said\n",
      "sail\n",
      "sailor\n",
      "saint\n",
      "sale\n",
      "salesman\n",
      "salli\n",
      "salmahayek\n",
      "salon\n",
      "sam\n",
      "samantha\n",
      "samanthamorton\n",
      "sammend\n",
      "samneil\n",
      "samraimi\n",
      "samrockwel\n",
      "samuel\n",
      "samuell\n",
      "samurai\n",
      "samworthington\n",
      "san\n",
      "sand\n",
      "sandi\n",
      "sandrabullock\n",
      "santa\n",
      "sara\n",
      "sarah\n",
      "sarahjessicapark\n",
      "sarahmichellegellar\n",
      "sarahpolley\n",
      "sarapaxton\n",
      "satan\n",
      "satellit\n",
      "satisfi\n",
      "savag\n",
      "save\n",
      "saw\n",
      "say\n",
      "scam\n",
      "scandal\n",
      "scare\n",
      "scari\n",
      "scarlettjohansson\n",
      "scene\n",
      "schedul\n",
      "scheme\n",
      "scholarship\n",
      "school\n",
      "schoolteach\n",
      "sci\n",
      "scienc\n",
      "scientif\n",
      "scientist\n",
      "score\n",
      "scott\n",
      "scottglenn\n",
      "scottish\n",
      "scottspeedman\n",
      "scout\n",
      "scrambl\n",
      "scream\n",
      "screen\n",
      "script\n",
      "sea\n",
      "seal\n",
      "sean\n",
      "seanbean\n",
      "seanconneri\n",
      "seannwilliamscott\n",
      "seanpenn\n",
      "search\n",
      "seas\n",
      "seasid\n",
      "season\n",
      "seat\n",
      "sebastian\n",
      "seclud\n",
      "second\n",
      "secret\n",
      "secretari\n",
      "secretli\n",
      "secrets\n",
      "section\n",
      "secur\n",
      "security\n",
      "seduc\n",
      "seduct\n",
      "seek\n",
      "seemingli\n",
      "seen\n",
      "seiz\n",
      "sel\n",
      "select\n",
      "selenagomez\n",
      "self\n",
      "sell\n",
      "selmablair\n",
      "semi\n",
      "senat\n",
      "send\n",
      "senior\n",
      "sens\n",
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      "sentence\n",
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      "sergeant\n",
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      "shannynsossamon\n",
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      "shaw\n",
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      "shift\n",
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      "shirleymaclain\n",
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      "short\n",
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      "shot\n",
      "showdown\n",
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      "shut\n",
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      "sidekick\n",
      "sidney\n",
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      "siennaguillori\n",
      "sight\n",
      "sign\n",
      "signal\n",
      "sigourneyweav\n",
      "sik\n",
      "silenc\n",
      "silent\n",
      "silver\n",
      "similar\n",
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      "simonpegg\n",
      "simonwest\n",
      "simpl\n",
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      "simpson\n",
      "simultan\n",
      "sin\n",
      "sinc\n",
      "sing\n",
      "singer\n",
      "singh\n",
      "singl\n",
      "single\n",
      "sinist\n",
      "sir\n",
      "sissyspacek\n",
      "sister\n",
      "sisters\n",
      "sit\n",
      "site\n",
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      "situation\n",
      "sixth\n",
      "size\n",
      "skeptic\n",
      "skill\n",
      "skills\n",
      "skull\n",
      "sky\n",
      "skywalk\n",
      "slacker\n",
      "slam\n",
      "slaughter\n",
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      "slavery\n",
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      "sleep\n",
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      "soccer\n",
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      "solar\n",
      "sold\n",
      "soldier\n",
      "soldiers\n",
      "sole\n",
      "solitari\n",
      "solo\n",
      "solomon\n",
      "solv\n",
      "somebodi\n",
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      "sometim\n",
      "somewhat\n",
      "somewher\n",
      "son\n",
      "song\n",
      "songs\n",
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      "soon\n",
      "sophi\n",
      "sophie\n",
      "soror\n",
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      "sought\n",
      "soul\n",
      "sound\n",
      "soundtrack\n",
      "sour\n",
      "sourc\n",
      "source\n",
      "south\n",
      "southern\n",
      "soviet\n",
      "space\n",
      "spacecraft\n",
      "spain\n",
      "span\n",
      "spanish\n",
      "spark\n",
      "sparrow\n",
      "speak\n",
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      "specialist\n",
      "spectacular\n",
      "speed\n",
      "spell\n",
      "spencer\n",
      "spend\n",
      "spent\n",
      "spi\n",
      "spider\n",
      "spike\n",
      "spikele\n",
      "spin\n",
      "spiral\n",
      "spirit\n",
      "spiritu\n",
      "spite\n",
      "spoil\n",
      "spoof\n",
      "sport\n",
      "spot\n",
      "spotlight\n",
      "spread\n",
      "spring\n",
      "squad\n",
      "squar\n",
      "st\n",
      "staff\n",
      "stage\n",
      "stak\n",
      "stake\n",
      "stalk\n",
      "stan\n",
      "stand\n",
      "stanley\n",
      "stanleykubrick\n",
      "star\n",
      "stardom\n",
      "stark\n",
      "stars\n",
      "start\n",
      "startl\n",
      "state\n",
      "states\n",
      "station\n",
      "statu\n",
      "stay\n",
      "steal\n",
      "steel\n",
      "stella\n",
      "stellanskarsgård\n",
      "step\n",
      "stephen\n",
      "stephenchow\n",
      "stephendorff\n",
      "stephenfrear\n",
      "stephenherek\n",
      "stephenhopkin\n",
      "stephenrea\n",
      "stepmoth\n",
      "steve\n",
      "stevebuscemi\n",
      "stevecarel\n",
      "stevemartin\n",
      "steven\n",
      "stevenseag\n",
      "stevensoderbergh\n",
      "stevenspielberg\n",
      "stevezahn\n",
      "stewart\n",
      "stick\n",
      "stir\n",
      "stock\n",
      "stolen\n",
      "stone\n",
      "stoner\n",
      "stop\n",
      "store\n",
      "stori\n",
      "stories\n",
      "storm\n",
      "story\n",
      "straight\n",
      "strain\n",
      "strand\n",
      "strang\n",
      "stranger\n",
      "strateg\n",
      "stray\n",
      "street\n",
      "streets\n",
      "streetwis\n",
      "strength\n",
      "stress\n",
      "stretch\n",
      "stricken\n",
      "strict\n",
      "strike\n",
      "strikes\n",
      "string\n",
      "strip\n",
      "stripe\n",
      "stripper\n",
      "strive\n",
      "stroke\n",
      "strong\n",
      "stronger\n",
      "structur\n",
      "struggl\n",
      "struggle\n",
      "stu\n",
      "stuart\n",
      "stuck\n",
      "stud\n",
      "student\n",
      "students\n",
      "studi\n",
      "studio\n",
      "stumbl\n",
      "stun\n",
      "stunt\n",
      "style\n",
      "su\n",
      "sub\n",
      "subject\n",
      "submarin\n",
      "submit\n",
      "subsequ\n",
      "suburb\n",
      "suburban\n",
      "subway\n",
      "succe\n",
      "succeed\n",
      "success\n",
      "successful\n",
      "successor\n",
      "succumb\n",
      "sudden\n",
      "suddenli\n",
      "suddenly\n",
      "sue\n",
      "suffer\n",
      "suggest\n",
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      "suit\n",
      "sullivan\n",
      "summer\n",
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      "sun\n",
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      "super\n",
      "superhero\n",
      "superman\n",
      "supermarket\n",
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      "superstar\n",
      "supervisor\n",
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      "sure\n",
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      "surface\n",
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      "surprise\n",
      "surreal\n",
      "surround\n",
      "surviv\n",
      "survival\n",
      "survive\n",
      "survivor\n",
      "survivors\n",
      "susan\n",
      "susansarandon\n",
      "suspect\n",
      "suspens\n",
      "suspici\n",
      "suspicion\n",
      "swallow\n",
      "swan\n",
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      "sweep\n",
      "sweet\n",
      "sweetheart\n",
      "swept\n",
      "swing\n",
      "switch\n",
      "sword\n",
      "sworn\n",
      "sydneypollack\n",
      "sylvesterstallon\n",
      "symbol\n",
      "ta\n",
      "tabl\n",
      "tabloid\n",
      "tactic\n",
      "tag\n",
      "tai\n",
      "tail\n",
      "taken\n",
      "tale\n",
      "talent\n",
      "taliban\n",
      "talk\n",
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      "tank\n",
      "tap\n",
      "tape\n",
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      "task\n",
      "tast\n",
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      "tayedigg\n",
      "taylor\n",
      "taylorhackford\n",
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      "teach\n",
      "teacher\n",
      "teachers\n",
      "team\n",
      "tear\n",
      "tech\n",
      "technolog\n",
      "technology\n",
      "ted\n",
      "teen\n",
      "teenag\n",
      "teenager\n",
      "teenagers\n",
      "teens\n",
      "tel\n",
      "televis\n",
      "tell\n",
      "temporari\n",
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      "teripolo\n",
      "term\n",
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      "terrencehoward\n",
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      "territory\n",
      "terror\n",
      "terrorist\n",
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      "tess\n",
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      "tested\n",
      "texa\n",
      "texas\n",
      "th\n",
      "thai\n",
      "thailand\n",
      "thandienewton\n",
      "thank\n",
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      "theater\n",
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      "theme\n",
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      "theori\n",
      "therapist\n",
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      "thief\n",
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      "thomashadenchurch\n",
      "thomasjan\n",
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      "thousand\n",
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      "thrill\n",
      "thriller\n",
      "throne\n",
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      "thug\n",
      "thwart\n",
      "tick\n",
      "ticket\n",
      "tie\n",
      "tiger\n",
      "tigger\n",
      "tildaswinton\n",
      "tim\n",
      "timallen\n",
      "timburton\n",
      "time\n",
      "timeless\n",
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      "timid\n",
      "timothyolyph\n",
      "timothyspal\n",
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      "tina\n",
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      "titan\n",
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      "tobeymaguir\n",
      "tobinbel\n",
      "today\n",
      "todd\n",
      "toddphillip\n",
      "togeth\n",
      "tokyo\n",
      "told\n",
      "tom\n",
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      "tomhardi\n",
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      "took\n",
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      "tortur\n",
      "total\n",
      "touch\n",
      "tough\n",
      "toughest\n",
      "tour\n",
      "tourist\n",
      "tournament\n",
      "tower\n",
      "town\n",
      "toxic\n",
      "toy\n",
      "trace\n",
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      "track\n",
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      "trail\n",
      "train\n",
      "trainer\n",
      "transfer\n",
      "transform\n",
      "transit\n",
      "transplant\n",
      "transport\n",
      "trap\n",
      "trauma\n",
      "traumat\n",
      "travel\n",
      "treacher\n",
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      "treat\n",
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      "tree\n",
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      "tri\n",
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      "tribe\n",
      "trick\n",
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      "trio\n",
      "trip\n",
      "triumph\n",
      "troop\n",
      "tropic\n",
      "troubl\n",
      "trouble\n",
      "troy\n",
      "truck\n",
      "trucker\n",
      "true\n",
      "truli\n",
      "truman\n",
      "trust\n",
      "truth\n",
      "tucker\n",
      "tunnel\n",
      "turbul\n",
      "turmoil\n",
      "turn\n",
      "turned\n",
      "turner\n",
      "turtl\n",
      "tv\n",
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      "type\n",
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      "universe\n",
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      "vampir\n",
      "vampire\n",
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      "vast\n",
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      "version\n",
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      "veteran\n",
      "vice\n",
      "viciou\n",
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      "view\n",
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      "wear\n",
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      "web\n",
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      "wedding\n",
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      "willarnett\n",
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      "willferrel\n",
      "willi\n",
      "william\n",
      "williamfriedkin\n",
      "williamh\n",
      "williamhurt\n",
      "williamshatn\n",
      "willpatton\n",
      "willsmith\n",
      "wilson\n",
      "win\n",
      "wind\n",
      "window\n",
      "wing\n",
      "winner\n",
      "winonaryd\n",
      "winter\n",
      "wipe\n",
      "wise\n",
      "wish\n",
      "wit\n",
      "witch\n",
      "wizard\n",
      "wolf\n",
      "wolfgangpetersen\n",
      "woman\n",
      "women\n",
      "won\n",
      "wonder\n",
      "woo\n",
      "wood\n",
      "woodi\n",
      "woods\n",
      "woodyallen\n",
      "woodyharrelson\n",
      "word\n",
      "wordsworth\n",
      "work\n",
      "workahol\n",
      "worker\n",
      "workers\n",
      "working\n",
      "world\n",
      "worlds\n",
      "worldwid\n",
      "worri\n",
      "wors\n",
      "worse\n",
      "worship\n",
      "worst\n",
      "worth\n",
      "wound\n",
      "wreak\n",
      "wrestl\n",
      "wrestler\n",
      "wright\n",
      "write\n",
      "writer\n",
      "written\n",
      "wrong\n",
      "wrote\n",
      "wwii\n",
      "yard\n",
      "year\n",
      "yearn\n",
      "years\n",
      "yellow\n",
      "york\n",
      "yorker\n",
      "young\n",
      "younger\n",
      "youngest\n",
      "youngster\n",
      "youth\n",
      "zacefron\n",
      "zachgalifianaki\n",
      "zacksnyd\n",
      "zealand\n",
      "zhangyim\n",
      "zhangziyi\n",
      "zion\n",
      "zoe\n",
      "zoesaldana\n",
      "zombi\n",
      "zombies\n",
      "zone\n",
      "zoo\n",
      "zooeydeschanel\n"
     ]
    }
   ],
   "source": [
    "\n",
    "def main():\n",
    "    \n",
    "    for i in cv.get_feature_names_out():\n",
    "       print(i)\n",
    "main()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "b9785a5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['love', 'love', 'love']"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# example of stem\n",
    "['loved' , 'loving','love']\n",
    "['love' , 'love','love']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "3221d2e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'love'"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ps.stem('loved')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "65cc5d26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'love'"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ps.stem('loves')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "30b32fd0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'in the 22nd century, a parapleg marin is dispatch to the moon pandora on a uniqu mission, but becom torn between follow order and protect an alien civilization. action adventur fantasi sciencefict cultureclash futur spacewar spacecoloni societi spacetravel futurist romanc space alien tribe alienplanet cgi marin soldier battl loveaffair antiwar powerrel mindandsoul 3d samworthington zoesaldana sigourneyweav jamescameron'"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stem('In the 22nd century, a paraplegic Marine is dispatched to the moon Pandora on a unique mission, but becomes torn between following orders and protecting an alien civilization. Action Adventure Fantasy ScienceFiction cultureclash future spacewar spacecolony society spacetravel futuristic romance space alien tribe alienplanet cgi marine soldier battle loveaffair antiwar powerrelations mindandsoul 3d SamWorthington ZoeSaldana SigourneyWeaver JamesCameron')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "f8e44151",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics.pairwise import cosine_similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "ff1285e6",
   "metadata": {},
   "outputs": [],
   "source": [
    " similarity = cosine_similarity(vectors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "e5a06c31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4806, 4806)"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "similarity.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "71bace9c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1., 0., 0., ..., 0., 0., 0.])"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " similarity[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "a456d4e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
       "        0.        ],\n",
       "       [0.        , 1.        , 0.        , ..., 0.03681051, 0.        ,\n",
       "        0.03874921],\n",
       "       [0.        , 0.        , 1.        , ..., 0.03187884, 0.        ,\n",
       "        0.        ],\n",
       "       ...,\n",
       "       [0.        , 0.03681051, 0.03187884, ..., 1.        , 0.04656202,\n",
       "        0.02567481],\n",
       "       [0.        , 0.        , 0.        , ..., 0.04656202, 1.        ,\n",
       "        0.09802862],\n",
       "       [0.        , 0.03874921, 0.        , ..., 0.02567481, 0.09802862,\n",
       "        1.        ]])"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "61f4a706",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.        , 0.03874921, 0.        , ..., 0.02567481, 0.09802862,\n",
       "       1.        ])"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "similarity[4805]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "7f0b8798",
   "metadata": {},
   "outputs": [
    {
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       " (902, 0.0),\n",
       " (903, 0.0),\n",
       " (904, 0.0),\n",
       " (905, 0.0),\n",
       " (906, 0.0),\n",
       " (907, 0.0),\n",
       " (908, 0.0),\n",
       " (909, 0.0),\n",
       " (910, 0.0),\n",
       " (911, 0.0),\n",
       " (912, 0.0),\n",
       " (913, 0.0),\n",
       " (914, 0.0),\n",
       " (915, 0.0),\n",
       " (916, 0.050251890762960605),\n",
       " (917, 0.0),\n",
       " (918, 0.0),\n",
       " (919, 0.0),\n",
       " (920, 0.0),\n",
       " (921, 0.0),\n",
       " (922, 0.0),\n",
       " (923, 0.0),\n",
       " (924, 0.0),\n",
       " (925, 0.0),\n",
       " (926, 0.0),\n",
       " (927, 0.0),\n",
       " (928, 0.0),\n",
       " (929, 0.0),\n",
       " (930, 0.03774256780481986),\n",
       " (931, 0.0),\n",
       " (932, 0.04303314829119352),\n",
       " (933, 0.0),\n",
       " (934, 0.0),\n",
       " (935, 0.06804138174397718),\n",
       " (936, 0.0),\n",
       " (937, 0.09622504486493764),\n",
       " (938, 0.040422604172722164),\n",
       " (939, 0.0),\n",
       " (940, 0.0),\n",
       " (941, 0.0),\n",
       " (942, 0.15936381457791915),\n",
       " (943, 0.0),\n",
       " (944, 0.0),\n",
       " (945, 0.0),\n",
       " (946, 0.0372677996249965),\n",
       " (947, 0.0),\n",
       " (948, 0.0),\n",
       " (949, 0.0),\n",
       " (950, 0.0),\n",
       " (951, 0.055555555555555566),\n",
       " (952, 0.0),\n",
       " (953, 0.0),\n",
       " (954, 0.0),\n",
       " (955, 0.0),\n",
       " (956, 0.0),\n",
       " (957, 0.052704627669472995),\n",
       " (958, 0.03928371006591931),\n",
       " (959, 0.0),\n",
       " (960, 0.0),\n",
       " (961, 0.0),\n",
       " (962, 0.0),\n",
       " (963, 0.03594425773447948),\n",
       " (964, 0.0),\n",
       " (965, 0.0),\n",
       " (966, 0.0),\n",
       " (967, 0.0),\n",
       " (968, 0.0),\n",
       " (969, 0.03402069087198859),\n",
       " (970, 0.0),\n",
       " (971, 0.0),\n",
       " (972, 0.10286889997472795),\n",
       " (973, 0.09622504486493764),\n",
       " (974, 0.0),\n",
       " (975, 0.0),\n",
       " (976, 0.0),\n",
       " (977, 0.0),\n",
       " (978, 0.0),\n",
       " (979, 0.0),\n",
       " (980, 0.0),\n",
       " (981, 0.0),\n",
       " (982, 0.0),\n",
       " (983, 0.0),\n",
       " (984, 0.04376881095324086),\n",
       " (985, 0.024984389633195384),\n",
       " (986, 0.0),\n",
       " (987, 0.0),\n",
       " (988, 0.08084520834544433),\n",
       " (989, 0.05716619504750295),\n",
       " (990, 0.0),\n",
       " (991, 0.0),\n",
       " (992, 0.0),\n",
       " (993, 0.051434449987363975),\n",
       " (994, 0.0),\n",
       " (995, 0.06299407883487121),\n",
       " (996, 0.0),\n",
       " (997, 0.03513641844631533),\n",
       " (998, 0.0),\n",
       " (999, 0.0),\n",
       " ...]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# index ko fix krke movie ke sath la rha h bs\n",
    "list(enumerate(similarity[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "25112ff8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(12, 0.2858309752375148),\n",
       " (1679, 0.19641855032959654),\n",
       " (1769, 0.19611613513818404),\n",
       " (962, 0.1887128390240993),\n",
       " (4497, 0.1767766952966369)]"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(list(enumerate(similarity[1])),reverse = True ,key=lambda x:x[1])[1:6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "76ba4025",
   "metadata": {},
   "outputs": [],
   "source": [
    "def recommed(movie):\n",
    "    movie_index =new_df[new_df['title'] == movie ].index[0]\n",
    "    distances = similarity[movie_index]\n",
    "    movies_list = sorted(list(enumerate(distances)),reverse = True ,key=lambda x:x[1])[1:6]    \n",
    "    for i in movies_list:\n",
    "        print(new_df.iloc[i[0]].title)\n",
    "#         print(i[0])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "b902763a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Synecdoche, New York\n",
      "Copying Beethoven\n",
      "The Shipping News\n",
      "Khumba\n",
      "American Psycho\n"
     ]
    }
   ],
   "source": [
    "recommed('Batman Begins')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "fcfa84aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Apollo 18'"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.iloc[3608].title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d8c9400a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "474a9d71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1362"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df[new_df['title'] == 'Batman' ].index[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4a249f24",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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