Codes.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c5936158",
   "metadata": {},
   "source": [
    "## Problem Statement:\n",
    "\"To analyze trends and patterns in artificial intelligence (AI) news coverage across multiple tech news sources, identifying key topics, publication patterns, and differences between sources to gain insights into the current state and evolution of AI discourse in the media.\"\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42598e78",
   "metadata": {},
   "source": [
    "# Objectives:\n",
    "    \n",
    "    1. Collect and analyze AI-related news articles from multiple reputable tech news sources.\n",
    "    2. Identify the most frequently discussed AI topics and technologies.\n",
    "    3. Analyze the volume and frequency of AI news publication over time.\n",
    "    4. Compare and contrast AI coverage across different news sources.\n",
    "    5. Identify potential biases or trends in AI news reporting."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2cb9b899",
   "metadata": {},
   "source": [
    "## STAGE [1] :Web-Scrapping & Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ee58183b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's start with something straightforward: parsing an RSS feed to collect AI-related news articles. We'll use the feedparser library, which makes it easy to work with RSS feeds."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "301832ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: feedparser in c:\\users\\91991\\anaconda3\\lib\\site-packages (6.0.11)Note: you may need to restart the kernel to use updated packages.\n",
      "\n",
      "Requirement already satisfied: sgmllib3k in c:\\users\\91991\\anaconda3\\lib\\site-packages (from feedparser) (1.0.0)\n"
     ]
    }
   ],
   "source": [
    "pip install feedparser"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1035c07a",
   "metadata": {},
   "source": [
    "###### **A Bit about Feedparser for reference** : https://feedparser.readthedocs.io/en/latest/introduction.html\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "447d9778",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: beautifulsoup4 in c:\\users\\91991\\anaconda3\\lib\\site-packages (4.11.1)\n",
      "Requirement already satisfied: python-dateutil in c:\\users\\91991\\anaconda3\\lib\\site-packages (2.8.2)\n",
      "Requirement already satisfied: soupsieve>1.2 in c:\\users\\91991\\anaconda3\\lib\\site-packages (from beautifulsoup4) (2.3.1)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\91991\\anaconda3\\lib\\site-packages (from python-dateutil) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install beautifulsoup4 python-dateutil"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adbeff1c",
   "metadata": {},
   "source": [
    "###### **Reference** : \n",
    "Beautifulsoup - https://beautiful-soup-4.readthedocs.io/en/latest/#:~:text=Beautiful%20Soup%20is%20a%20Python,hours%20or%20days%20of%20work\n",
    "Dateutil - https://dateutil.readthedocs.io/en/stable/\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0f49882c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing required libraries (1)\n",
    "import feedparser\n",
    "import csv\n",
    "from datetime import datetime\n",
    "import time\n",
    "import random\n",
    "import re\n",
    "from bs4 import BeautifulSoup\n",
    "from dateutil import parser as date_parser"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9e2f71f",
   "metadata": {},
   "source": [
    "#### Data Cleaning :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2ed85bea",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cleaning the data that we will be scrapping\n",
    "def clean_text(text):\n",
    "    # Remove HTML tags\n",
    "    soup = BeautifulSoup(text, \"html.parser\")\n",
    "    clean = soup.get_text()\n",
    "    # Remove extra whitespace\n",
    "    clean = re.sub(r'\\s+', ' ', clean).strip()\n",
    "    return clean\n",
    "\n",
    "def clean_date(date_string):\n",
    "    try:\n",
    "        # Parse the date string\n",
    "        parsed_date = date_parser.parse(date_string)\n",
    "        # Format the date consistently\n",
    "        return parsed_date.strftime(\"%Y-%m-%d %H:%M:%S\")\n",
    "    except:\n",
    "        return ''\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d615f43f",
   "metadata": {},
   "source": [
    "#### Data Sourcing :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f40b6494",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Defining function to read the data from rss feeds of newsletters\n",
    "\n",
    "def parse_rss(url, source):\n",
    "    try:\n",
    "        \n",
    "        feed = feedparser.parse(url)\n",
    "        articles = []\n",
    "        for entry in feed.entries:\n",
    "            article = {\n",
    "                'Title': clean_text(entry.get('title', '')),\n",
    "                'Link': entry.get('link', ''),\n",
    "                'Published': clean_date(entry.get('published', '')),\n",
    "                'Summary': clean_text(entry.get('summary', '')),\n",
    "                'Source': source\n",
    "            }\n",
    "            articles.append(article)\n",
    "        return articles\n",
    "    except Exception as e:\n",
    "        print(f\"Error parsing {source} feed: {str(e)}\")\n",
    "        return []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "39a99a9b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Defining a function to read the output of the above function into a csv\n",
    "\n",
    "def save_to_csv (articles, filename):\n",
    "    if not articles:\n",
    "        print('No articles to save')\n",
    "        return\n",
    "    \n",
    "    fieldnames = ['Title', 'Link','Published','Summary','Source']\n",
    "   #using open function below, 'w' is used to indicate that we are writing in the file after opening it.  \n",
    "    try:\n",
    "        with open(filename, 'w', newline='', encoding='utf-8') as file:\n",
    "            writer = csv.DictWriter(file, fieldnames=fieldnames)\n",
    "            writer.writeheader()\n",
    "            for article in articles:\n",
    "                writer.writerow(article)\n",
    "        print(f\"Successfully saved {len(articles)} articles to {filename}\")\n",
    "    except Exception as e:\n",
    "        print(f\"Error saving to CSV: {str(e)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "16edf32a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fetching articles from TechCrunch...\n",
      "Collected 20 articles from TechCrunch\n",
      "Fetching articles from AI News...\n",
      "Collected 10 articles from AI News\n",
      "Fetching articles from BigdataAnalytics...\n",
      "Collected 10 articles from BigdataAnalytics\n",
      "Fetching articles from Venturebeat...\n",
      "Collected 30 articles from Venturebeat\n",
      "Fetching articles from MIT...\n",
      "Collected 10 articles from MIT\n",
      "Successfully saved 80 articles to ai_news_20240709.csv\n",
      "Total articles collected: 80\n"
     ]
    }
   ],
   "source": [
    "# RSS feed URL for TechCrunch's AI category\n",
    "feeds = [\n",
    "    (\"https://techcrunch.com/category/artificial-intelligence/feed/\", \"TechCrunch\"),\n",
    "    (\"https://www.artificialintelligence-news.com/feed/\", \"AI News\"),\n",
    "    (\"https://bigdataanalyticsnews.com/feed/\", \"BigdataAnalytics\"),\n",
    "    (\"https://venturebeat.com/category/ai/feed/\", \"Venturebeat\"),\n",
    "    (\"https://www.technologyreview.com/topic/artificial-intelligence/feed\", \"MIT\"),\n",
    "]\n",
    "\n",
    "# Collect all the articles from the feeds\n",
    "\n",
    "all_articles = []\n",
    "for url, source in feeds:\n",
    "    print(f\"Fetching articles from {source}...\")\n",
    "    articles = parse_rss(url,source)\n",
    "    all_articles.extend(articles)\n",
    "    print(f'Collected {len(articles)} articles from {source}')\n",
    "    time.sleep(random.uniform(1, 3))  # Random delay between requests\n",
    "\n",
    "    \n",
    "# Generate a file name with current date\n",
    "curr_date = datetime.now().strftime('%Y%m%d')\n",
    "filename = f'ai_news_{curr_date}.csv'\n",
    "\n",
    "# Save the articles to a CSV file\n",
    "save_to_csv(all_articles, filename)\n",
    "\n",
    "print(f\"Total articles collected: {len(all_articles)}\")  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b171e508",
   "metadata": {},
   "source": [
    "## STAGE [2] : Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "dac7a00f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\91991\\anaconda3\\lib\\site-packages\\pandas\\core\\computation\\expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed).\n",
      "  from pandas.core.computation.check import NUMEXPR_INSTALLED\n",
      "C:\\Users\\91991\\anaconda3\\lib\\site-packages\\pandas\\core\\arrays\\masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed).\n",
      "  from pandas.core import (\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "888a14ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading the cleaned data to a dataframe\n",
    "df = pd.read_csv('ai_news_20240709.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a3160a11",
   "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>Title</th>\n",
       "      <th>Link</th>\n",
       "      <th>Published</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Source</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alexa co-creator gives first glimpse of Unlike...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/alexa-co-cre...</td>\n",
       "      <td>2024-07-09 16:30:09</td>\n",
       "      <td>After announcing a whopping $20 million seed l...</td>\n",
       "      <td>TechCrunch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Humane execs leave company to found AI fact-ch...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/humane-execs...</td>\n",
       "      <td>2024-07-09 14:49:00</td>\n",
       "      <td>Infactory is a kind of fact-checking search en...</td>\n",
       "      <td>TechCrunch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>With $6M in seed funding, Enso plans to bring ...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/with-6m-in-s...</td>\n",
       "      <td>2024-07-09 13:01:00</td>\n",
       "      <td>Running a small business means doing more with...</td>\n",
       "      <td>TechCrunch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Etsy adds AI-generated item guidelines in new ...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/etsy-new-sel...</td>\n",
       "      <td>2024-07-09 12:09:07</td>\n",
       "      <td>Etsy has been grappling with an influx of gene...</td>\n",
       "      <td>TechCrunch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ex-Googler joins filmmaker to launch DreamFlar...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/dreamflare-a...</td>\n",
       "      <td>2024-07-09 11:00:00</td>\n",
       "      <td>A startup called DreamFlare AI is emerging fro...</td>\n",
       "      <td>TechCrunch</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Title  \\\n",
       "0  Alexa co-creator gives first glimpse of Unlike...   \n",
       "1  Humane execs leave company to found AI fact-ch...   \n",
       "2  With $6M in seed funding, Enso plans to bring ...   \n",
       "3  Etsy adds AI-generated item guidelines in new ...   \n",
       "4  Ex-Googler joins filmmaker to launch DreamFlar...   \n",
       "\n",
       "                                                Link            Published  \\\n",
       "0  https://techcrunch.com/2024/07/09/alexa-co-cre...  2024-07-09 16:30:09   \n",
       "1  https://techcrunch.com/2024/07/09/humane-execs...  2024-07-09 14:49:00   \n",
       "2  https://techcrunch.com/2024/07/09/with-6m-in-s...  2024-07-09 13:01:00   \n",
       "3  https://techcrunch.com/2024/07/09/etsy-new-sel...  2024-07-09 12:09:07   \n",
       "4  https://techcrunch.com/2024/07/09/dreamflare-a...  2024-07-09 11:00:00   \n",
       "\n",
       "                                             Summary      Source  \n",
       "0  After announcing a whopping $20 million seed l...  TechCrunch  \n",
       "1  Infactory is a kind of fact-checking search en...  TechCrunch  \n",
       "2  Running a small business means doing more with...  TechCrunch  \n",
       "3  Etsy has been grappling with an influx of gene...  TechCrunch  \n",
       "4  A startup called DreamFlare AI is emerging fro...  TechCrunch  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lets look at the file\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "dcf92cc4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset has (80, 5) rows and columns\n"
     ]
    }
   ],
   "source": [
    "# 1. Dataset Dimensions\n",
    "print(f'Dataset has {df.shape} rows and columns')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "096d9fee",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset Information:\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 80 entries, 0 to 79\n",
      "Data columns (total 5 columns):\n",
      " #   Column     Non-Null Count  Dtype \n",
      "---  ------     --------------  ----- \n",
      " 0   Title      80 non-null     object\n",
      " 1   Link       80 non-null     object\n",
      " 2   Published  80 non-null     object\n",
      " 3   Summary    80 non-null     object\n",
      " 4   Source     80 non-null     object\n",
      "dtypes: object(5)\n",
      "memory usage: 3.2+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# 2. Basic Information about the dataset\n",
    "print(\"Dataset Information:\")\n",
    "print(df.info())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9cbcebd",
   "metadata": {},
   "source": [
    "##### Published data type should be in date format, we will change that when we are doing univariate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4b7fd8e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Summary Statistics:\n",
      "                                                    Title  \\\n",
      "count                                                  80   \n",
      "unique                                                 80   \n",
      "top     Alexa co-creator gives first glimpse of Unlike...   \n",
      "freq                                                    1   \n",
      "\n",
      "                                                     Link  \\\n",
      "count                                                  80   \n",
      "unique                                                 80   \n",
      "top     https://techcrunch.com/2024/07/09/alexa-co-cre...   \n",
      "freq                                                    1   \n",
      "\n",
      "                  Published  \\\n",
      "count                    80   \n",
      "unique                   79   \n",
      "top     2024-07-08 16:00:00   \n",
      "freq                      2   \n",
      "\n",
      "                                                  Summary       Source  \n",
      "count                                                  80           80  \n",
      "unique                                                 80            5  \n",
      "top     After announcing a whopping $20 million seed l...  Venturebeat  \n",
      "freq                                                    1           30  \n"
     ]
    }
   ],
   "source": [
    "# 3. Summary Statistics\n",
    "print(\"\\nSummary Statistics:\")\n",
    "\n",
    "print(df.describe())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80bc0e3a",
   "metadata": {},
   "source": [
    "#### Univariate Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f5d0b4f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Article count by source:\n",
      "Source\n",
      "Venturebeat         30\n",
      "TechCrunch          20\n",
      "AI News             10\n",
      "BigdataAnalytics    10\n",
      "MIT                 10\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# 1. Article count by Source\n",
    "source_counts = df['Source'].value_counts()\n",
    "print(\"\\nArticle count by source:\")\n",
    "print(source_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "66a9204e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualizing article count by source\n",
    "plt.figure(figsize = (10,6))\n",
    "source_counts.plot(kind='bar', color = 'lightseagreen')\n",
    "plt.title('Number of Articles by Source')\n",
    "plt.xlabel('Source')\n",
    "plt.ylabel('No of Articles')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1964f5b0",
   "metadata": {},
   "source": [
    "#### Bivariate Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2d2db78d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2. Articles over time\n",
    "df['Published'] = pd.to_datetime(df['Published'])\n",
    "df['Date'] = df['Published'].dt.date # created a date column to look at daily volume of articles\n",
    "articles_per_day = df['Date'].value_counts().sort_index()\n",
    "\n",
    "# Visualization\n",
    "plt.figure(figsize=(12, 6))\n",
    "articles_per_day.plot(kind='line', marker = 'o')\n",
    "\n",
    "plt.title('Number of Articles Published Over Time')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Number of Articles')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7fc4723d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Average number of articles per day: 5.71\n",
      "Month with most articles: 2024-07-08 (19 articles)\n",
      "Month with least articles: 2024-06-20 (1 articles)\n"
     ]
    }
   ],
   "source": [
    "# How many average articles on a day\n",
    "avg_daily_article = articles_per_day.mean()\n",
    "print(f\"\\nAverage number of articles per day: {avg_daily_article:.2f}\")\n",
    "\n",
    "# Daily with most and least articles\n",
    "max_day = articles_per_day.idxmax()\n",
    "min_day = articles_per_day.idxmin()\n",
    "print(f\"Month with most articles: {max_day} ({articles_per_day[max_day]} articles)\")\n",
    "print(f\"Month with least articles: {min_day} ({articles_per_day[min_day]} articles)\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4d8a7429",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Article counts by month:\n",
      "Year-Month\n",
      "2024-06     5\n",
      "2024-07    75\n",
      "Freq: M, Name: count, dtype: int64\n",
      "\n",
      "Average number of articles per month: 40.00\n",
      "Month with most articles: 2024-07 (75 articles)\n",
      "Month with least articles: 2024-06 (5 articles)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1400x800 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Monthly analysis completed.\n"
     ]
    }
   ],
   "source": [
    "# Extract year and month\n",
    "df['Year-Month'] = df['Published'].dt.to_period('M')\n",
    "\n",
    "# Count articles by year-month\n",
    "monthly_counts = df['Year-Month'].value_counts().sort_index()\n",
    "\n",
    "print(\"Article counts by month:\")\n",
    "print(monthly_counts)\n",
    "\n",
    "# Visualize monthly trends\n",
    "plt.figure(figsize=(12, 6))\n",
    "monthly_counts.plot(kind='pie', colors = ['palegreen','slategrey'])\n",
    "plt.title('Number of Articles Published by Month')\n",
    "plt.xlabel('Year-Month')\n",
    "plt.ylabel('Number of Articles')\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "# Average articles per month\n",
    "avg_per_month = monthly_counts.mean()\n",
    "print(f\"\\nAverage number of articles per month: {avg_per_month:.2f}\")\n",
    "\n",
    "# Month with most and least articles\n",
    "max_month = monthly_counts.idxmax()\n",
    "min_month = monthly_counts.idxmin()\n",
    "print(f\"Month with most articles: {max_month} ({monthly_counts[max_month]} articles)\")\n",
    "print(f\"Month with least articles: {min_month} ({monthly_counts[min_month]} articles)\")\n",
    "\n",
    "# Monthly trend by source\n",
    "monthly_by_source = df.groupby(['Year-Month', 'Source']).size().unstack(fill_value=0)\n",
    "\n",
    "plt.figure(figsize=(14, 8))\n",
    "monthly_by_source.plot(kind='bar', stacked=True,cmap='tab20')\n",
    "plt.title('Monthly Article Count by Source')\n",
    "plt.xlabel('Year-Month')\n",
    "plt.ylabel('Number of Articles')\n",
    "plt.legend(title='Source', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "print(\"\\nMonthly analysis completed.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc7bdc3a",
   "metadata": {},
   "source": [
    "   ## ANALYSIS [1] : Word Frequency in Title\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "44dc1eef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Top 10 words in titles:\n",
      "[('startup', 4), ('data', 4), ('industry', 4), ('generative', 4), ('ai’s', 3), ('tech', 3), ('seed', 3), ('new', 3), ('using', 3), ('help', 3)]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 5. Word frequency in titles\n",
    "from collections import Counter\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "\n",
    "nltk.download('stopwords', quiet = True)\n",
    "stop_words = set(stopwords.words('english'))\n",
    "\n",
    "def get_word_freq (text_series):\n",
    "    words = ' '.join(text_series).lower().split()\n",
    "    words = [word for word in words if word not in stop_words and len(word)>2]\n",
    "    return Counter(words)\n",
    "\n",
    "title_word_freq = get_word_freq(df['Title'])\n",
    "print(\"\\nTop 10 words in titles:\")\n",
    "print(title_word_freq.most_common(10))\n",
    "\n",
    "# Visualizing\n",
    "top_words = dict(title_word_freq.most_common(10))\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(top_words.keys(), top_words.values(),color='cornflowerblue')\n",
    "plt.title('Top 10 Words in Article Titles')\n",
    "plt.xlabel('Word')\n",
    "plt.ylabel('Frequency')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c92dba87",
   "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>Title</th>\n",
       "      <th>Link</th>\n",
       "      <th>Published</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Source</th>\n",
       "      <th>Date</th>\n",
       "      <th>Year-Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alexa co-creator gives first glimpse of Unlike...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/alexa-co-cre...</td>\n",
       "      <td>2024-07-09 16:30:09</td>\n",
       "      <td>After announcing a whopping $20 million seed l...</td>\n",
       "      <td>TechCrunch</td>\n",
       "      <td>2024-07-09</td>\n",
       "      <td>2024-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Humane execs leave company to found AI fact-ch...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/humane-execs...</td>\n",
       "      <td>2024-07-09 14:49:00</td>\n",
       "      <td>Infactory is a kind of fact-checking search en...</td>\n",
       "      <td>TechCrunch</td>\n",
       "      <td>2024-07-09</td>\n",
       "      <td>2024-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>With $6M in seed funding, Enso plans to bring ...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/with-6m-in-s...</td>\n",
       "      <td>2024-07-09 13:01:00</td>\n",
       "      <td>Running a small business means doing more with...</td>\n",
       "      <td>TechCrunch</td>\n",
       "      <td>2024-07-09</td>\n",
       "      <td>2024-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Etsy adds AI-generated item guidelines in new ...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/etsy-new-sel...</td>\n",
       "      <td>2024-07-09 12:09:07</td>\n",
       "      <td>Etsy has been grappling with an influx of gene...</td>\n",
       "      <td>TechCrunch</td>\n",
       "      <td>2024-07-09</td>\n",
       "      <td>2024-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ex-Googler joins filmmaker to launch DreamFlar...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/dreamflare-a...</td>\n",
       "      <td>2024-07-09 11:00:00</td>\n",
       "      <td>A startup called DreamFlare AI is emerging fro...</td>\n",
       "      <td>TechCrunch</td>\n",
       "      <td>2024-07-09</td>\n",
       "      <td>2024-07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Title  \\\n",
       "0  Alexa co-creator gives first glimpse of Unlike...   \n",
       "1  Humane execs leave company to found AI fact-ch...   \n",
       "2  With $6M in seed funding, Enso plans to bring ...   \n",
       "3  Etsy adds AI-generated item guidelines in new ...   \n",
       "4  Ex-Googler joins filmmaker to launch DreamFlar...   \n",
       "\n",
       "                                                Link           Published  \\\n",
       "0  https://techcrunch.com/2024/07/09/alexa-co-cre... 2024-07-09 16:30:09   \n",
       "1  https://techcrunch.com/2024/07/09/humane-execs... 2024-07-09 14:49:00   \n",
       "2  https://techcrunch.com/2024/07/09/with-6m-in-s... 2024-07-09 13:01:00   \n",
       "3  https://techcrunch.com/2024/07/09/etsy-new-sel... 2024-07-09 12:09:07   \n",
       "4  https://techcrunch.com/2024/07/09/dreamflare-a... 2024-07-09 11:00:00   \n",
       "\n",
       "                                             Summary      Source        Date  \\\n",
       "0  After announcing a whopping $20 million seed l...  TechCrunch  2024-07-09   \n",
       "1  Infactory is a kind of fact-checking search en...  TechCrunch  2024-07-09   \n",
       "2  Running a small business means doing more with...  TechCrunch  2024-07-09   \n",
       "3  Etsy has been grappling with an influx of gene...  TechCrunch  2024-07-09   \n",
       "4  A startup called DreamFlare AI is emerging fro...  TechCrunch  2024-07-09   \n",
       "\n",
       "  Year-Month  \n",
       "0    2024-07  \n",
       "1    2024-07  \n",
       "2    2024-07  \n",
       "3    2024-07  \n",
       "4    2024-07  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "011e3462",
   "metadata": {},
   "source": [
    "## ANALYSIS [2] : BIG COMPANY MENTIONS\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "6f90af7c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Mentions of big companies in AI articles:\n",
      "OpenAI       14\n",
      "Google        7\n",
      "Apple         5\n",
      "NVidia        5\n",
      "Meta          4\n",
      "Microsoft     3\n",
      "Samsung       2\n",
      "Amazon        0\n",
      "IBM           0\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import re\n",
    "import pandas as pd\n",
    "\n",
    "def count_company_mentions(text, companies):\n",
    "    return {company: len(re.findall(r'\\b' + re.escape(company) + r'\\b', text, re.IGNORECASE)) for company in companies}\n",
    "\n",
    "# List of big tech companies\n",
    "big_companies = ['Google', 'Microsoft', 'Apple', 'Amazon', 'Meta', 'IBM', 'OpenAI', 'NVidia','Samsung']\n",
    "\n",
    "# Count mentions in titles and summaries\n",
    "company_mentions = df.apply(lambda row: count_company_mentions(row['Title'] + ' ' + row['Summary'], big_companies), axis=1)\n",
    "\n",
    "# Convert the series of dictionaries to a dataframe\n",
    "mentions_df = pd.DataFrame(company_mentions.tolist(), index=company_mentions.index)\n",
    "\n",
    "# Sum the mentions\n",
    "total_mentions = mentions_df.sum()\n",
    "\n",
    "print(\"\\nMentions of big companies in AI articles:\")\n",
    "print(total_mentions.sort_values(ascending=False))\n",
    "\n",
    "# Visualize\n",
    "plt.figure(figsize=(10, 6))\n",
    "total_mentions.sort_values().plot(kind='barh',color = 'mediumslateblue')\n",
    "plt.title('Mentions of Big Companies in AI Articles')\n",
    "plt.xlabel('Number of Mentions')\n",
    "plt.tight_layout()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "189f2b4d",
   "metadata": {},
   "source": [
    "## ANALYSIS [3] : RANKING ARTICLES BY RECENCY, TITLE LENGTH, SUMMARY LENGTH\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "585a9810",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tabulate import tabulate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c2e26a17",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Most recent articles:\n",
      "|  0 | Alexa co-creator gives first glimpse of Unlikely AI’s tech strategy              | 2024-07-09 16:30:09 | TechCrunch  |\n",
      "|  1 | Humane execs leave company to found AI fact-checking startup                     | 2024-07-09 14:49:00 | TechCrunch  |\n",
      "| 20 | SenseTime SenseNova 5.5: China’s first real-time multimodal AI model             | 2024-07-09 14:06:23 | AI News     |\n",
      "| 21 | AI revolution in US education: How Chinese apps are leading the way              | 2024-07-09 13:02:35 | AI News     |\n",
      "|  2 | With $6M in seed funding, Enso plans to bring AI agents to SMBs                  | 2024-07-09 13:01:00 | TechCrunch  |\n",
      "| 40 | Aitomatic’s SemiKong uses AI to reshape chipmaking processes                     | 2024-07-09 13:00:00 | Venturebeat |\n",
      "|  3 | Etsy adds AI-generated item guidelines in new seller policy                      | 2024-07-09 12:09:07 | TechCrunch  |\n",
      "|  4 | Ex-Googler joins filmmaker to launch DreamFlare, a studio for AI-generated video | 2024-07-09 11:00:00 | TechCrunch  |\n",
      "| 70 | Can AI help me plan my honeymoon?                                                | 2024-07-09 09:52:24 | MIT         |\n",
      "|  5 | Byway is using AI to help travelers slow down and take the scenic route          | 2024-07-09 08:00:00 | TechCrunch  |\n",
      "\n",
      "Articles with longest titles:\n",
      "| 49 | At VB Transform: Perplexity CBO on factfulness, plagiarism and how AI (and Perplexity) are aiming to rewrite the unwritten rules | 128 | Venturebeat      |\n",
      "| 48 | Investors call Intuit bullish; VB calls Intuit and its AI strategy a highlight of VB Transform 2024                              |  99 | Venturebeat      |\n",
      "| 57 | Is the healthcare industry ready for generative AI? Nurses say no, Kaiser Permanente begs to differ                              |  99 | Venturebeat      |\n",
      "| 45 | Not to brag, but VB has the best reporters in the biz — get in the room with them at VB Transform                                |  97 | Venturebeat      |\n",
      "| 22 | Language Processing Units (LPUs): Paving the way for advanced voice AI in contact centres                                        |  89 | AI News          |\n",
      "| 50 | Open-TeleVision: Why human intelligence could be the key to next-gen robotic automation                                          |  87 | Venturebeat      |\n",
      "| 37 | The Benefits of Pursuing an Online Degree in Educational Leadership and Principalship                                            |  85 | BigdataAnalytics |\n",
      "| 58 | Meet the startup using AI to slash healthcare’s trillion-dollar administrative burden                                            |  85 | Venturebeat      |\n",
      "| 47 | Groq unveils lightning-fast LLM engine; developer base rockets past 280K in 4 months                                             |  84 | Venturebeat      |\n",
      "| 69 | Exclusive: Speech recognition AI learns industry jargon with aiOla’s novel approach                                              |  83 | Venturebeat      |\n",
      "\n",
      "Articles with longest summaries:\n",
      "| 26 | How AI is transforming digital marketing: 2024 trends and insights                        | 563 | AI News          |\n",
      "| 22 | Language Processing Units (LPUs): Paving the way for advanced voice AI in contact centres | 516 | AI News          |\n",
      "| 37 | The Benefits of Pursuing an Online Degree in Educational Leadership and Principalship     | 513 | BigdataAnalytics |\n",
      "| 38 | Robotics and Digital Wallets: Automating Financial Transactions with MPC Wallets          | 510 | BigdataAnalytics |\n",
      "| 20 | SenseTime SenseNova 5.5: China’s first real-time multimodal AI model                      | 492 | AI News          |\n",
      "| 23 | Nvidia: World’s most valuable company under French antitrust fire                         | 492 | AI News          |\n",
      "| 30 | OTC Trading and What It Means in Cryptocurrency                                           | 483 | BigdataAnalytics |\n",
      "| 35 | The Role Of AI And Big Data In Modern Call Centers Enhancing Customer Experiences         | 478 | BigdataAnalytics |\n",
      "| 34 | Mastering the Digital Frontier: Unleashing the Potential of Deployment Software           | 478 | BigdataAnalytics |\n",
      "| 29 | Industry experts call for tailored AI rules in post-election UK                           | 477 | AI News          |\n"
     ]
    }
   ],
   "source": [
    "# Rank articles by recency\n",
    "df['Published'] = pd.to_datetime(df['Published'])\n",
    "recent_articles = df.sort_values('Published', ascending=False).head(10)\n",
    "print(\"\\nMost recent articles:\")\n",
    "print(tabulate(recent_articles[['Title', 'Published', 'Source']],tablefmt='orgtbl'))\n",
    "\n",
    "# Rank articles by title length (as a proxy for article depth)\n",
    "df['Title_Length'] = df['Title'].str.len()\n",
    "long_title_articles = df.sort_values('Title_Length', ascending=False).head(10)\n",
    "print(\"\\nArticles with longest titles:\")\n",
    "print(tabulate(long_title_articles[['Title', 'Title_Length', 'Source']],tablefmt='orgtbl'))\n",
    "\n",
    "#  Rank by summary length if that's available\n",
    "if 'Summary' in df.columns:\n",
    "    df['Summary_Length'] = df['Summary'].str.len()\n",
    "    long_summary_articles = df.sort_values('Summary_Length', ascending=False).head(10)\n",
    "    print(\"\\nArticles with longest summaries:\")\n",
    "    print(tabulate(long_summary_articles[['Title', 'Summary_Length', 'Source']],tablefmt='orgtbl'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54913a7e",
   "metadata": {},
   "source": [
    "## ANALYSIS [4] : Word Trends over time\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "887166ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Function to count word frequency\n",
    "def count_word(text, word):\n",
    "    return len(re.findall(r'\\b' + re.escape(word) + r'\\b', str(text).lower()))\n",
    "\n",
    "# Words to track\n",
    "words_to_track = ['marketing', 'transformation', 'speed', 'features', 'gpt']\n",
    "\n",
    "# Count words in both Title and Summary\n",
    "for word in words_to_track:\n",
    "    df[word] = df['Title'].apply(lambda x: count_word(x, word)) + \\\n",
    "               df['Summary'].apply(lambda x: count_word(x, word))\n",
    "\n",
    "# Group by publication date and sum word counts\n",
    "word_trends = df.groupby('Published')[words_to_track].sum()\n",
    "\n",
    "# Resample to get monthly counts (adjust as needed)\n",
    "word_trends_monthly = word_trends.resample('ME').sum()\n",
    "\n",
    "# Plot the trends\n",
    "plt.figure(figsize=(12, 6))\n",
    "for word in words_to_track:\n",
    "    plt.plot(word_trends_monthly.index, word_trends_monthly[word], label=word, marker = 'o', alpha=0.7)\n",
    "\n",
    "plt.title('AI-related Word Trends Over Time')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Frequency')\n",
    "plt.legend(loc='upper left',bbox_to_anchor=(1.05, 1))\n",
    "plt.xticks(rotation=45)\n",
    "plt.grid(True, linestyle='--', alpha=0.7)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b55cd5fd",
   "metadata": {},
   "source": [
    "## ANALYSIS [5] : Sentiment Analysis\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "564a4c70",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.sentiment import SentimentIntensityAnalyzer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ca085dbf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Download necessary NLTK data\n",
    "nltk.download('vader_lexicon', quiet=True)\n",
    "\n",
    "# Initialize the VADER sentiment analyzer\n",
    "sia = SentimentIntensityAnalyzer()\n",
    "\n",
    "# Function to get compound sentiment score\n",
    "def get_sentiment(text):\n",
    "    return sia.polarity_scores(str(text))['compound']\n",
    "\n",
    "# Apply sentiment analysis to Title and Summary\n",
    "df['Title_sentiment'] = df['Title'].apply(get_sentiment)\n",
    "df['Summary_sentiment'] = df['Summary'].apply(get_sentiment)\n",
    "\n",
    "# Calculate overall sentiment\n",
    "df['Overall_sentiment'] = (df['Title_sentiment'] + df['Summary_sentiment'])/2\n",
    "\n",
    "# Plot sentiment over time\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.scatter(df['Published'], df['Overall_sentiment'], alpha=0.5,color='navy')\n",
    "plt.title('Sentiment of AI News Articles Over Time')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Sentiment Score')\n",
    "plt.axhline(y=0, color='r', linestyle='--')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8c35e0a9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average_sentiment: 0.20\n"
     ]
    }
   ],
   "source": [
    "# Print average sentiment\n",
    "print(f\"Average_sentiment: {df['Overall_sentiment'].mean():.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "cdc99d4a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Positive articles: 55\n",
      "Negative articles: 11\n",
      "Neutral articles: 14\n"
     ]
    }
   ],
   "source": [
    "# Count positive, negative, and neutral articles\n",
    "positive = (df['Overall_sentiment'] > 0.05).sum()\n",
    "negative = (df['Overall_sentiment'] < -0.05).sum()\n",
    "neutral = ((df['Overall_sentiment'] >= -0.05) & (df['Overall_sentiment'] <= 0.05)).sum()\n",
    "\n",
    "print(f\"Positive articles: {positive}\")\n",
    "print(f\"Negative articles: {negative}\")\n",
    "print(f\"Neutral articles: {neutral}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "da889465",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Average sentiment by source:\n",
      "Source\n",
      "AI News             0.416525\n",
      "BigdataAnalytics    0.327545\n",
      "Venturebeat         0.181838\n",
      "MIT                 0.133400\n",
      "TechCrunch          0.100195\n",
      "Name: Overall_sentiment, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Sentiment by source\n",
    "sentiment_by_source = df.groupby('Source')['Overall_sentiment'].mean().sort_values(ascending=False)\n",
    "print(\"\\nAverage sentiment by source:\")\n",
    "print(sentiment_by_source)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "5fff86a1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Most positive article: A way to let robots learn by listening will make them more useful\n",
      "Most negative article: TechCrunch Minute: How to protect yourself from AI scams\n"
     ]
    }
   ],
   "source": [
    "# Most positive and negative articles\n",
    "most_positive = df.loc[df['Overall_sentiment'].idxmax()]\n",
    "most_negative = df.loc[df['Overall_sentiment'].idxmin()]\n",
    "\n",
    "print(\"\\nMost positive article:\", most_positive['Title'])\n",
    "print(\"Most negative article:\", most_negative['Title'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "473d809b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sentiment trends over time\n",
    "monthly_sentiment = df.groupby('Year-Month')['Overall_sentiment'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "4c2fb8c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "monthly_sentiment.plot(kind='line')\n",
    "plt.title('Monthly Average Sentiment of AI News Articles')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Average Sentiment Score')\n",
    "plt.axhline(y=0, color='r', linestyle='--')\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25b40cb1",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "bc7d9976",
   "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>Title</th>\n",
       "      <th>Link</th>\n",
       "      <th>Published</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Source</th>\n",
       "      <th>Date</th>\n",
       "      <th>Year-Month</th>\n",
       "      <th>Title_Length</th>\n",
       "      <th>Summary_Length</th>\n",
       "      <th>marketing</th>\n",
       "      <th>transformation</th>\n",
       "      <th>speed</th>\n",
       "      <th>features</th>\n",
       "      <th>gpt</th>\n",
       "      <th>Title_sentiment</th>\n",
       "      <th>Summary_sentiment</th>\n",
       "      <th>Overall_sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alexa co-creator gives first glimpse of Unlike...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/alexa-co-cre...</td>\n",
       "      <td>2024-07-09 16:30:09</td>\n",
       "      <td>After announcing a whopping $20 million seed l...</td>\n",
       "      <td>TechCrunch</td>\n",
       "      <td>2024-07-09</td>\n",
       "      <td>2024-07</td>\n",
       "      <td>67</td>\n",
       "      <td>431</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Humane execs leave company to found AI fact-ch...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/humane-execs...</td>\n",
       "      <td>2024-07-09 14:49:00</td>\n",
       "      <td>Infactory is a kind of fact-checking search en...</td>\n",
       "      <td>TechCrunch</td>\n",
       "      <td>2024-07-09</td>\n",
       "      <td>2024-07</td>\n",
       "      <td>60</td>\n",
       "      <td>165</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.0516</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>0.16510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>With $6M in seed funding, Enso plans to bring ...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/with-6m-in-s...</td>\n",
       "      <td>2024-07-09 13:01:00</td>\n",
       "      <td>Running a small business means doing more with...</td>\n",
       "      <td>TechCrunch</td>\n",
       "      <td>2024-07-09</td>\n",
       "      <td>2024-07</td>\n",
       "      <td>63</td>\n",
       "      <td>409</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>0.15910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Etsy adds AI-generated item guidelines in new ...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/etsy-new-sel...</td>\n",
       "      <td>2024-07-09 12:09:07</td>\n",
       "      <td>Etsy has been grappling with an influx of gene...</td>\n",
       "      <td>TechCrunch</td>\n",
       "      <td>2024-07-09</td>\n",
       "      <td>2024-07</td>\n",
       "      <td>59</td>\n",
       "      <td>415</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.4767</td>\n",
       "      <td>0.23835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ex-Googler joins filmmaker to launch DreamFlar...</td>\n",
       "      <td>https://techcrunch.com/2024/07/09/dreamflare-a...</td>\n",
       "      <td>2024-07-09 11:00:00</td>\n",
       "      <td>A startup called DreamFlare AI is emerging fro...</td>\n",
       "      <td>TechCrunch</td>\n",
       "      <td>2024-07-09</td>\n",
       "      <td>2024-07</td>\n",
       "      <td>80</td>\n",
       "      <td>415</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-0.1531</td>\n",
       "      <td>-0.07655</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Title  \\\n",
       "0  Alexa co-creator gives first glimpse of Unlike...   \n",
       "1  Humane execs leave company to found AI fact-ch...   \n",
       "2  With $6M in seed funding, Enso plans to bring ...   \n",
       "3  Etsy adds AI-generated item guidelines in new ...   \n",
       "4  Ex-Googler joins filmmaker to launch DreamFlar...   \n",
       "\n",
       "                                                Link           Published  \\\n",
       "0  https://techcrunch.com/2024/07/09/alexa-co-cre... 2024-07-09 16:30:09   \n",
       "1  https://techcrunch.com/2024/07/09/humane-execs... 2024-07-09 14:49:00   \n",
       "2  https://techcrunch.com/2024/07/09/with-6m-in-s... 2024-07-09 13:01:00   \n",
       "3  https://techcrunch.com/2024/07/09/etsy-new-sel... 2024-07-09 12:09:07   \n",
       "4  https://techcrunch.com/2024/07/09/dreamflare-a... 2024-07-09 11:00:00   \n",
       "\n",
       "                                             Summary      Source        Date  \\\n",
       "0  After announcing a whopping $20 million seed l...  TechCrunch  2024-07-09   \n",
       "1  Infactory is a kind of fact-checking search en...  TechCrunch  2024-07-09   \n",
       "2  Running a small business means doing more with...  TechCrunch  2024-07-09   \n",
       "3  Etsy has been grappling with an influx of gene...  TechCrunch  2024-07-09   \n",
       "4  A startup called DreamFlare AI is emerging fro...  TechCrunch  2024-07-09   \n",
       "\n",
       "  Year-Month  Title_Length  Summary_Length  marketing  transformation  speed  \\\n",
       "0    2024-07            67             431          0               0      0   \n",
       "1    2024-07            60             165          0               0      0   \n",
       "2    2024-07            63             409          0               0      0   \n",
       "3    2024-07            59             415          0               0      0   \n",
       "4    2024-07            80             415          0               0      0   \n",
       "\n",
       "   features  gpt  Title_sentiment  Summary_sentiment  Overall_sentiment  \n",
       "0         0    0           0.0000             0.0000            0.00000  \n",
       "1         0    0          -0.0516             0.3818            0.16510  \n",
       "2         0    0           0.0000             0.3182            0.15910  \n",
       "3         0    0           0.0000             0.4767            0.23835  \n",
       "4         0    0           0.0000            -0.1531           -0.07655  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "286219e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Topic 1: ai, software, financial, deployment, healthcare, generative, development, nvidia, worlds, potential\n",
      "Topic 2: openai, new, robots, tasks, venture, aipowered, secures, post, shows, make\n",
      "Topic 3: ai, techcrunch, use, personal, reserved, rights, data, big, processing, news\n",
      "Topic 4: ai, model, industry, news, post, techcrunch, appeared, read, real, use\n",
      "Topic 5: ai, like, appeared, generative, vb, digital, data, companies, way, computing\n",
      "\n",
      "Example article for Topic 1:\n",
      "Title: Nvidia: World’s most valuable company under French antitrust fire\n",
      "Summary: Nvidia recently overtook Microsoft as the world’s most valuable company and is now in the crosshairs of French antitrust regulators. The French authority is preparing to charge Nvidia with anti-compet...\n",
      "\n",
      "Example article for Topic 2:\n",
      "Title: Apple secures ‘observer’ seat on OpenAI board\n",
      "Summary: Following Apple’s partnership announcement with OpenAI at WWDC last month, a new report reveals that the tech giant will secure an “observer role” on OpenAI’s board of directors. The new arrangement –...\n",
      "\n",
      "Example article for Topic 3:\n",
      "Title: Humane execs leave company to found AI fact-checking startup\n",
      "Summary: Infactory is a kind of fact-checking search engine that will be focused exclusively on data at launch. © 2024 TechCrunch. All rights reserved. For personal use only....\n",
      "\n",
      "Example article for Topic 4:\n",
      "Title: Alexa co-creator gives first glimpse of Unlikely AI’s tech strategy\n",
      "Summary: After announcing a whopping $20 million seed last year, Unlikely AI‘s founder William Tunstall-Pedoe has kept the budding UK foundation model maker’s approach under lock and key. Until now: TechCrunch...\n",
      "\n",
      "Example article for Topic 5:\n",
      "Title: CIOs’ concerns over generative AI echo those of the early days of cloud computing\n",
      "Summary: CIOs trying to govern generative AI have the same concerns they had about cloud computing 15 years ago, but they've learned some things along the way. © 2024 TechCrunch. All rights reserved. For perso...\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "from sklearn.decomposition import LatentDirichletAllocation\n",
    "from nltk.tokenize import word_tokenize\n",
    "\n",
    "# Combine title and summary for analysis\n",
    "df['text'] = df['Title'] + ' ' + df['Summary']\n",
    "\n",
    "# Preprocess the text\n",
    "def preprocess(text):\n",
    "    # Convert to lowercase\n",
    "    text = text.lower()\n",
    "    # Remove special characters\n",
    "    text = re.sub(r'[^a-zA-Z\\s]', '', text)\n",
    "    # Tokenize\n",
    "    tokens = word_tokenize(text)\n",
    "    # Remove stopwords\n",
    "    stop_words = set(stopwords.words('english'))\n",
    "    tokens = [t for t in tokens if t not in stop_words]\n",
    "    return ' '.join(tokens)\n",
    "\n",
    "df['processed_text'] = df['text'].apply(preprocess)\n",
    "\n",
    "# Create document-term matrix\n",
    "vectorizer = CountVectorizer(max_df=0.95, min_df=2, stop_words='english')\n",
    "doc_term_matrix = vectorizer.fit_transform(df['processed_text'])\n",
    "\n",
    "# Create and fit the LDA model\n",
    "lda_model = LatentDirichletAllocation(n_components=5, random_state=42)\n",
    "lda_output = lda_model.fit_transform(doc_term_matrix)\n",
    "\n",
    "# Function to print top words for each topic\n",
    "def print_topics(model, feature_names, n_top_words):\n",
    "    for topic_idx, topic in enumerate(model.components_):\n",
    "        top_words = [feature_names[i] for i in topic.argsort()[:-n_top_words - 1:-1]]\n",
    "        print(f\"Topic {topic_idx + 1}: {', '.join(top_words)}\")\n",
    "\n",
    "# Print the top 10 words for each topic\n",
    "print_topics(lda_model, vectorizer.get_feature_names_out(), 10)\n",
    "\n",
    "# Add dominant topic to dataframe\n",
    "df['dominant_topic'] = lda_output.argmax(axis=1)\n",
    "\n",
    "# Print example articles for each topic\n",
    "for i in range(5):\n",
    "    print(f\"\\nExample article for Topic {i+1}:\")\n",
    "    example = df[df['dominant_topic'] == i].iloc[0]\n",
    "    print(f\"Title: {example['Title']}\")\n",
    "    print(f\"Summary: {example['Summary'][:200]}...\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "a872c537",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dominant_topic\n",
      "0    12\n",
      "1     8\n",
      "2    26\n",
      "3    17\n",
      "4    17\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "topic_distribution = df['dominant_topic'].value_counts().sort_index()\n",
    "print(topic_distribution)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "8cf0f15e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Create a dictionary to map topic numbers to names\n",
    "topic_names = {\n",
    "    0: \"AI Industry Applications\",\n",
    "    1: \"AI Robotics Innovations\",\n",
    "    2: \"AI Data Ethics\",\n",
    "    3: \"AI Industry Trends\",\n",
    "    4: \"AI Digital Transformation\"\n",
    "}\n",
    "\n",
    "# Update your dataframe to use topic names\n",
    "df['topic_name'] = df['dominant_topic'].map(topic_names)\n",
    "\n",
    "# Generate a color palette\n",
    "colors = sns.color_palette('pastel', n_colors=len(topic_names))\n",
    "color_dict = dict(zip(topic_names.values(), colors))\n",
    "\n",
    "# 1. Topic Distribution Over Time (Line Plot)\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "# Group by month and topic, then count\n",
    "topic_over_time = df.groupby([pd.Grouper(key='Published', freq='ME'), 'topic_name']).size().unstack(fill_value=0)\n",
    "\n",
    "# Plot each topic\n",
    "for topic in topic_names.values():\n",
    "    plt.plot(topic_over_time.index, topic_over_time[topic], label=topic, color=color_dict[topic], marker='o')\n",
    "\n",
    "plt.title('AI Topics Distribution Over Time')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Number of Articles')\n",
    "plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 2. Overall Topic Distribution (Bar Chart)\n",
    "topic_distribution = df['topic_name'].value_counts()\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "topic_distribution.plot(kind='bar', color=[color_dict[topic] for topic in topic_distribution.index])\n",
    "plt.title('Distribution of AI Topics')\n",
    "plt.xlabel('Topic')\n",
    "plt.ylabel('Number of Articles')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 3. Pie Chart of Topic Distribution\n",
    "plt.figure(figsize=(10, 8))\n",
    "plt.pie(topic_distribution, labels=topic_distribution.index, autopct='%1.1f%%', \n",
    "        colors=[color_dict[topic] for topic in topic_distribution.index])\n",
    "plt.title('Distribution of AI Topics')\n",
    "plt.axis('equal')\n",
    "plt.show()\n",
    "\n",
    "# 4. Stacked Area Chart of Topics Over Time\n",
    "plt.figure(figsize=(12, 6))\n",
    "topic_over_time.plot(kind='area', stacked=True, \n",
    "                     color=[color_dict[topic] for topic in topic_over_time.columns])\n",
    "plt.title('AI Topics Over Time')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Number of Articles')\n",
    "plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "3ea08e9f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "topic_name\n",
      "AI Data Ethics               32.5\n",
      "AI Industry Trends           21.2\n",
      "AI Digital Transformation    21.2\n",
      "AI Industry Applications     15.0\n",
      "AI Robotics Innovations      10.0\n",
      "Name: count, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "total_articles = topic_distribution.sum()\n",
    "topic_percentages = (topic_distribution / total_articles * 100).round(1)\n",
    "print(topic_percentages)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c81d85f9",
   "metadata": {},
   "source": [
    "# Conclusion:\n",
    "1. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1eaa878",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}