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https://github.com/codebyaadi/whatsapp-chat-analyzer
WhatsApp Chat Analyzer is a web app built with Streamlit and Python to analyze your WhatsApp conversations. Upload your chat data and gain valuable insights on message frequency, active participants, and more. Visualize your conversations with word clouds and charts. Explore and understand your chats effortlessly.
https://github.com/codebyaadi/whatsapp-chat-analyzer
data-analysis data-science data-visualization numpy pandas pycharm-ide python python3
Last synced: 27 days ago
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WhatsApp Chat Analyzer is a web app built with Streamlit and Python to analyze your WhatsApp conversations. Upload your chat data and gain valuable insights on message frequency, active participants, and more. Visualize your conversations with word clouds and charts. Explore and understand your chats effortlessly.
- Host: GitHub
- URL: https://github.com/codebyaadi/whatsapp-chat-analyzer
- Owner: codebyaadi
- Created: 2023-06-18T07:04:57.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-08T18:05:48.000Z (over 1 year ago)
- Last Synced: 2024-10-31T17:44:44.127Z (3 months ago)
- Topics: data-analysis, data-science, data-visualization, numpy, pandas, pycharm-ide, python, python3
- Language: Python
- Homepage: https://wachatlyzer.streamlit.app/
- Size: 448 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# WhatsApp Chat Analyzer
WhatsApp Chat Analyzer is a web application built with Streamlit and Python that allows you to analyze your WhatsApp conversations. Upload your chat data and gain valuable insights on message frequency, active participants, and more. Visualize your conversations with word clouds and charts. Explore and understand your chats effortlessly. 💬📊🔍
## Features
- Upload WhatsApp chat data in text file format 📂
- Analyze message frequency and distribution 📈
- Identify most active participants 👥
- Generate word clouds for visualizing common words ☁️
- Explore chat statistics and trends 📊## Requirements
- Python 3.7+
- Streamlit
- Pandas
- NLTK
- Matplotlib (and many others libraries)## Contributing
Contributions to the project are welcome! If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request. 🙌
Feel free to modify and customize the `README.md` file further according to your needs.