The WhatsApp Chat Analyzer is a powerful tool designed to extract insights and provide a deeper understanding of your WhatsApp group conversations. Whether you're curious about sentiment trends, group dynamics, or the main themes of your chats, this analyzer delivers valuable information.
- Group Insights: Discover the main themes and interests of your WhatsApp group through advanced natural language processing.
- Active Members: Identify the most engaged contributors, providing a snapshot of the group's key participants.
- Sentiment Overview: Gain insights into the emotional tone of your conversations with comprehensive sentiment analysis.
- Trend Analysis: Explore how discussions evolve over time, revealing emerging topics and patterns.
- Personalized Summaries: Receive a tailored summary of your group, including a suggested name and insights into your group's purpose.
- Data visualization: Receive a data visualization of states of peopele like most busy days , most busy month, most busy years, most busy ussers and many more in future.
- Python
- Natural Language Processing (NLP) libraries (e.g., NLTK, TextBlob)
- Data visualization tools (e.g., Matplotlib, Seaborn)
- pandas (for frame .txt data
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Clone the repository:
git clone https://github.com/singhsourav0/whatsapp_chat_analysis cd whatsapp_chat_analysis