{"id":22344186,"url":"https://github.com/neerajcodes888/whatsapp-chat-analyzer","last_synced_at":"2026-04-12T07:37:52.556Z","repository":{"id":218275025,"uuid":"746003237","full_name":"neerajcodes888/Whatsapp-Chat-Analyzer","owner":"neerajcodes888","description":"A Python tool for effortless analysis of WhatsApp conversations. Gain insights with basic statistics, word cloud visualizations, and URL statistics. 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Clone this repository to your local machine.\u003c/p\u003e\n\n```\ngit clone https://github.com/neerajcodes888/Whatsapp-Chat-Analyzer.git\ncd Whatsapp-Chat-Analyzer\n```\n\n\u003cp\u003e2. Run the Streamlit app:\u003c/p\u003e\n\n```\nstreamlit run index.py\n```\n\n\n\u003cp\u003e3. Upload your WhatsApp chat text file (in .txt format).\u003c/p\u003e\n\n\u003cp\u003e4. Explore the WhatsApp chat statistics word cloud and URL statistics displayed in the Streamlit web interface.\u003c/p\u003e\n\n\u003ch2\u003e🍰 Contribution Guidelines:\u003c/h2\u003e\n\nContributions are welcome! Feel free to open issues or submit pull requests.\n\n  \n  \n\u003ch2\u003e💻 Built with\u003c/h2\u003e\n\nTechnologies used in the project:\n\n- **Python**: The core programming language for the application.\n\n- **Pandas**: A powerful data manipulation library in Python, used for handling and analyzing the WhatsApp chat data.\n\n- **Urlextract**: A Python library for extracting URLs from text, employed to identify and analyze URLs shared in the chat.\n\n- **Wordcloud**: A library for creating word clouds, utilized to visualize the most frequently used words in the chat.\n\n- **Seaborn**: A statistical data visualization library based on Matplotlib, used for creating appealing and informative visualizations.\n\n- **Streamlit**: A web framework for creating interactive web applications with Python, employed to create the user-friendly interface for exploring chat statistics.\n\n\u003ch2\u003e📑 Additional Content\u003c/h2\u003e\n\n``Preprocessing``\n\nThe script performs basic preprocessing on the chat text, converting it to lowercase. You can extend the preprocess_text function in whatsapp_analyzer.py for more advanced text processing.\n\n``Word Cloud Customization``\n\nThe Word Cloud visualization can be customized further by modifying the parameters in the generate_wordcloud function. Refer to the wordcloud documentation for more options.\n\n\u003ch2\u003e🛡️ License:\u003c/h2\u003e\n\nThis project is licensed under the MIT Licence\n\n\u003ch2\u003e🙏 Acknowledgments:\u003c/h2\u003e\n\nSpecial thanks to the developers of pandas, urlextract, wordcloud, seaborn, and Streamlit for creating these powerful libraries\n\nHappy analyzing your WhatsApp chats! 📊📱\n\n  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneerajcodes888%2Fwhatsapp-chat-analyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fneerajcodes888%2Fwhatsapp-chat-analyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneerajcodes888%2Fwhatsapp-chat-analyzer/lists"}