What is RSS Sentiment Bot?
RSS Sentiment Bot is an intelligent news aggregation system that automatically collects stories from various RSS feeds and analyzes their emotional content using advanced AI sentiment analysis.
Key Features
- Real-time RSS feed monitoring and collection
- AI-powered sentiment analysis (happiness, sadness, chaos, wellbeing)
- Automatic thumbnail extraction and processing
- Ward-based categorization system
- Clean, minimal interface with keyboard shortcuts
- Story engagement tracking and scoring
- Mobile-responsive design
How It Works
The system continuously monitors RSS feeds from various news sources. When new stories are detected, they are:
- Processed for content extraction
- Analyzed for sentiment using machine learning models
- Categorized by topic and ward
- Enhanced with thumbnails when available
- Made available through our clean, fast interface
Sentiment Analysis
Each story is analyzed across multiple emotional dimensions:
- Happiness - Positive emotional content
- Sadness - Negative or melancholic content
- Chaos - Disorder, confusion, or instability
- Wellbeing - Health, safety, and prosperity indicators
- Temperature - Overall emotional intensity
- Confidence - Analysis certainty level
Technology Stack
Built with modern, efficient technologies:
- Python for RSS processing and AI analysis
- PHP for API endpoints and data serving
- MySQL for data storage and retrieval
- JavaScript for interactive frontend
- PIL for image processing and thumbnails
Privacy & Data
We respect your privacy:
- No personal data collection
- Anonymous engagement tracking
- No cookies for tracking
- Open source architecture