Analyze Whatsapp chat
A comprehensive Python library for analyzing WhatsApp chat exports. This library provides tools for preprocessing WhatsApp chat data and performing various analyses including sentiment analysis, user activity patterns, conversation patterns, and more.
This project aims to develop a full-stack web application that automates the mining and visualization of WhatsApp conversation data using Natural Language Processing (NLP) and Machine Learning techniques.
Analyse your exported Whatsapp Chat with Chatilysis!
Analyse your complete WhatsApp message history by directly analysing the backup file.
A modern, fast, and 100% private Web App to visualize and analyze exported WhatsApp chats (.txt) with Dark Mode, Word Cloud, and statistics.
Analyze exported WhatsApp chats: who talks most, activity patterns, top words/emojis, awards, and more.
A high-performance Streamlit dashboard for analyzing WhatsApp chat exports. Features are user activity mapping, and interactive word clouds. etc
Full-stack WhatsApp chat log parser and sentiment analyzer with interactive Streamlit data visualizations.
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