This project is a real-time YouTube Sentiment Intelligence System that analyzes public YouTube comments using Transformer-based NLP (BERT) and displays results in an interactive Streamlit dashboard.
- Fetches live YouTube comments using Google API
- Classifies comments into:
- Positive
- Negative
- Neutral
- Uses BERT Transformer model for sentiment analysis
- Displays results in a Streamlit web dashboard
- Computes sentiment distribution for business insights
- Python
- HuggingFace Transformers (BERT)
- Google YouTube Data API
- PyTorch
- Streamlit