whatsapp-chat-analyzer and whatsapp-chat-analysis

whatsapp-chat-analysis
20
Experimental
Maintenance 6/25
Adoption 4/25
Maturity 16/25
Community 17/25
Maintenance 10/25
Adoption 2/25
Maturity 8/25
Community 0/25
Stars: 8
Forks: 9
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 2
Forks:
Downloads:
Commits (30d): 0
Language:
License:
No Package No Dependents
No License No Package No Dependents

About whatsapp-chat-analyzer

eliterks/whatsapp-chat-analyzer

A powerful Streamlit web application that analyzes WhatsApp group chat data to generate insightful visualizations, statistics, and predicts whether a user is highly active (1) or not (0) using machine learning models.

This tool helps analyze your WhatsApp group chat history to understand communication patterns and identify key contributors. You input an exported WhatsApp chat text file, and it generates visual reports showing monthly/daily activity, popular words, frequently used emojis, and even predicts which members are highly active. This is ideal for community managers, team leads, or anyone managing a WhatsApp group who wants to gain insights into member engagement and group dynamics.

community-management group-analytics engagement-metrics social-media-analysis team-communication

About whatsapp-chat-analysis

notready155/whatsapp-chat-analysis

This project involves analyzing WhatsApp chat data to extract valuable insights. Using Python and various libraries like Pandas and Matplotlib, the project processes and visualizes chat statistics such as message frequency, most active participants, and sentiment analysis.

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