🧠 Text Sentiment Analyzer

A simple web application that uses NLTK's VADER sentiment analysis tool to detect the sentiment of a given text input. Built using Flask and styled with modern HTML/CSS.

🚀 Features

• Analyze sentiment of any English text (Positive, Neutral, or Negative)
• Uses NLTK's VADER sentiment intensity analyzer
• Clean, responsive UI with modern design
• Fast and lightweight

📸 Screenshot

🛠️ Technologies Used

• Python 3
• Flask
• HTML5 / CSS3
• JavaScript (optional enhancements)
• NLTK (VADER lexicon)

🔧 Setup Instructions

1. Clone the Repository

git clone https://github.com/therandomuser03/sentiment-analyzer.git
cd sentiment-analyzer

2. Create a Virtual Environment (Optional but Recommended)

python -m venv venv
source venv/bin/activate      # On Windows: venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4. Download VADER Lexicon

import nltk
nltk.download('vader_lexicon')

Alternatively, run this in the terminal:

python -c "import nltk; nltk.download('vader_lexicon')"

5. Run the App

python app.py

Open your browser and go to:

http://127.0.0.1:5000/

📁 Project Structure

sentiment-analyzer/
│
├── app.py
├── requirements.txt
├── static/
│   ├── style.css
│   └── script.js
├── templates/
│   └── index.html
├── README.md
└── screenshot.png   # Optional

📄 License

MIT License — feel free to use, modify, and distribute.

💡 Future Improvements

• Add support for multiple languages
• Include charts or visual feedback
• Save analysis history
• API version for external use

🤝 Contributions

Pull requests are welcome! If you find bugs or want to improve the UI/UX, feel free to contribute.

🌟 Acknowledgements

• NLTK
• VADER Sentiment Analysis
• Flask framework