kanai2003/whatsapp-chat-analyzer

A python project which takes whatsapp chat exported .txt file and gives its analysis data

Whatsapp Chat Analyzer / ChatMine 📈📊

ChatMine (Whatsapp Chat Analyzer) is a Python application designed to analyze WhatsApp chat data and visualize the analysis results.

Features ⚒️

• Import and parse WhatsApp chat text files.
• Analyze chat data to generate statistics and metrics.
• Visualize analysis results through interactive charts and graphs.
• User friendly App Interface

Live Demo 🌐🌏

You can explore ChatMine in action through our live demo hosted at https://chat-mine.streamlit.app/. Feel free to check it out and experience the analysis and visualization capabilities firsthand.

Technologies Used ⚙️🖥️

ChatMine utilizes a range of powerful technologies and libraries to provide an efficient and user-friendly experience for analyzing WhatsApp chat data. The key technologies used in this project include:

• Streamlit: Streamlit is a popular Python library for building interactive web applications with ease. It enables the creation of intuitive user interfaces and seamless integration with data analysis and visualization functionalities.

• Matplotlib: Matplotlib is a widely-used data visualization library in Python.

• Seaborn: Seaborn is a statistical data visualization library built on top of Matplotlib.

• Urlextract: Urlextract is a Python library that efficiently extracts URLs from text.

• Wordcloud: Wordcloud is a library used for generating word clouds from text data and helps visualize the most frequent words.

• Pandas: Pandas is a powerful data manipulation and analysis library.

• Emoji: The Emoji library is used to handle and analyze emojis within the chat data.

Contribute

Need help to style this application and re-arrange the visualized data. To contribute, please follow these steps:

1. Fork the repository and create a new branch for your contributions.
2. Implement your changes, ensuring adherence to the project's coding conventions and best practices.
3. Test your modifications thoroughly to ensure they work as intended.
4. Submit a pull request, clearly describing the purpose and scope of your changes.

I appreciate your dedication to improving ChatMine and making it a valuable tool for data analysis ✌️.