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feat : Added WhatsApp Chat Analysis Project
a comprehensive WhatsApp Chat Sentiment Analysis implementation that includes:
Features
- WhatsApp chat file parsing with support for multiline messages
- Sentiment analysis using NLTK's VADER sentiment analyzer
- Visualization of sentiment distribution (Positive, Negative, Neutral)
- Support for emoji handling and special character processing
Technical Implementation
- Regular expression-based date/time parsing
- Pandas DataFrame structure for organized data management
- Matplotlib visualization for sentiment results
- Proper handling of both 12-hour time formats
Files Added
Whatsapp Chats Sentiment Analysis.ipynb- Main implementation notebookREADME.md- Comprehensive documentation
Testing
The implementation has been tested with:
- Various WhatsApp chat export formats
- Messages containing emojis and special characters
- Multiline message handling
This implementation provides a solid foundation for WhatsApp chat analysis with extensible architecture for additional features.