Robust sentiment analysis system using state-of-the-art NLP models. Analyzes text to classify sentiment as Negative, Neutral, or Positive. Supports both single-text analysis and batch CSV processing.
- 🚀 Fast inference with RoBERTa-base model
- 📊 Batch processing for CSV files with progress tracking
- 💬 Handles informal/social media language
- ✅ Automatic error handling and data validation
- 📈 Built-in sample data generation
git clone https://github.com/Mekusgood/sentiment-analysis.git
cd sentiment-analysis
pip install -r requirements.txt