📊 Advanced Text Analysis

A powerful React application for advanced text analysis with beautiful interactive visualizations. Transform your text into meaningful insights through sentiment analysis, word patterns, and linguistic metrics.

✨ Features

🎯 Core Analysis

• 💭 Sentiment Analysis - Understand the emotional tone of your text
• 📝 Word Frequency Analysis - Discover the most impactful words
• 📊 Linguistic Metrics - Deep dive into text complexity

📈 Interactive Visualizations

• 🥧 Sentiment Distribution (Pie Chart)
• 📊 Word Frequency (Bar Chart)
• 📈 Sentiment Trends (Line Chart)
• 🎯 Linguistic Features (Radar Chart)

🛠️ Additional Tools

• 💾 Export analysis results as JSON
• 🎲 Test with random text simulations
• 🎨 Beautiful, responsive UI

🚀 Getting Started

Prerequisites

• Node.js (v14 or higher)
• npm or yarn

Installation

1. Clone the repository

git clone https://github.com/Parisaroozgarian/Advanced-Text-Analysis.git
cd Advanced-Text-Analysis

2. Install dependencies

npm install

3. Start the development server

npm start

4. Open your browser and visit http://localhost:3000

🎮 How to Use

1. 📝 Enter or paste your text in the analysis box
2. 🔍 Click "Analyze Text" to process
3. 📊 Explore the interactive visualizations:
   • View sentiment distribution
   • Analyze word frequencies
   • Track sentiment trends
   • Examine linguistic patterns
4. 💾 Export your results using the Export button
5. 🎲 Try the Random Simulation for quick testing

🏗️ Project Structure

src/
├── 📂 components/
│   ├── 📂 text-analysis/
│   │   └── 📄 AdvancedTextAnalyzer.tsx
│   └── 📂 ui/
│       ├── 📄 button.tsx
│       ├── 📄 card.tsx
│       └── 📄 textarea.tsx
├── 📂 lib/
│   └── 📄 utils.ts
├── 📄 App.tsx
└── 📄 index.tsx

🛠️ Built With

• React 18 - Modern UI development
• TypeScript - Type-safe code
• Recharts - Beautiful data visualization
• TailwindCSS - Stylish, responsive design
• Lucide React - Modern icon system

🤝 Contributing

Contributions make the open-source community amazing! Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

This project is licensed under the MIT License. See the LICENSE file for details.

🌟 Show your support

Give a ⭐️ if this project helped you!