AI-powered sentiment analysis tool for Nigerian tweets
# π³π¬ Naija Tweet Sentiment Analyzer
An AI-powered web application for analyzing sentiment in Nigerian tweets using natural language processing.
## π Features
- **Single Tweet Analysis**: Analyze individual tweets instantly
- **Batch CSV Processing**: Upload and analyze multiple tweets from CSV files
- **Interactive Visualizations**: Beautiful charts and statistics
- **Export Results**: Download analysis results as CSV
- **Demo Data**: Pre-loaded sample tweets for testing
## π Live Demo
Try it now!
## π» How to Use
1. **Single Tweet**: Enter any tweet in the text area and click "Analyze"
2. **CSV Upload**: Upload a CSV file with a 'text' column containing tweets
3. **Demo Data**: Click "Load Demo Data" to see sample analysis
4. **Results**: View interactive charts and detailed sentiment breakdown
5. **Export**: Download your results as CSV for further analysis
## π οΈ Technology Stack
- **Frontend**: HTML5, CSS3, JavaScript (ES6)
- **Visualization**: Chart.js
- **Sentiment Analysis**: Custom word-based algorithm
- **Deployment**: GitHub Pages
## π Sentiment Categories
- **Positive**: Tweets expressing favorable opinions or emotions
- **Negative**: Tweets expressing unfavorable opinions or emotions
- **Neutral**: Tweets with balanced or factual content
## π― Use Cases
- Social media monitoring
- Brand sentiment analysis
- Public opinion research
- Academic research on Nigerian social media
- Market research and consumer insights
## π€ Contributing
Feel free to fork this repository and submit pull requests for improvements!
## π License
MIT License - feel free to use this project for educational and commercial purposes.
## π¨βπ» Author
QAZEEM ANUOLUWAPO ROYAL