Real-time sentiment analysis of YouTube comments for trending videos or specific channels. This project fetches comments using the YouTube Data API, preprocesses text using NLP techniques, and classifies sentiment.
An advanced sentiment analysis system that provides insights into public opinion and engagement patterns on YouTube content.
Key Features:
- Real-time comment fetching from YouTube Data API
- Advanced text preprocessing and cleaning
- Sentiment classification (positive, negative, neutral)
- Trending video analysis
- Channel-specific sentiment tracking
- Data visualization and reporting
Technologies Used:
- Python
- YouTube Data API
- Natural Language Processing
- Sentiment Analysis
- Data Visualization
- Real-time Data Processing