WhatsApp Chat Analysis
1️⃣ Source of the Idea
Inspired by:
Idea: systematically analyze personal/group chats for:
- Message activity patterns
- Sentiment over time
- Keyword and emoji usage
- Visual insights on group dynamics
2️⃣ Work Done to Create & Share on Colab
✅ Parsed WhatsApp export (_chat.txt) using robust regex supporting multi-line messages.
✅ Anonymized participant names for privacy while retaining analysis.
✅ Performed sentiment analysis using VADER (NLTK).
✅ Generated visualizations:
- Activity heatmap (hour vs. weekday)
- Average sentiment by user
- Top emojis used
- Word cloud of most frequent words
✅ Packaged these analyses into a clean, reusable Python notebook.
✅ Uploaded and shared via Google Colab for ease of:
- Running without local setup
- Visual exploration
- Sharing with collaborators