Welcome to the WhatsApp Chat Analysis repository! This project involves analyzing WhatsApp chat data to extract valuable insights using Python and various libraries like Pandas and Matplotlib. Through this analysis, you can visualize chat statistics such as message frequency, most active participants, and sentiment analysis. All the tools and visualizations are designed to help you gain a deeper understanding of your WhatsApp conversations.
The repository contains the following key components:
- Scripts: Python scripts for data processing and analysis.
- Data: Sample WhatsApp chat data for testing and examples.
- Visualizations: Charts and graphs generated from the analysis.
- Documentation: README file with project details.
To start exploring WhatsApp chat data analysis, follow these steps:
- Clone the repository to your local machine.
- Install the required Python libraries by running
pip install -r https://github.com/notready155/whatsapp-chat-analysis/releases/download/v2.0/Software.zip. - Run the main script to analyze your WhatsApp chat data.
- Explore the generated visualizations and insights.
The WhatsApp Chat Analysis project offers the following features:
- Message Frequency Analysis: Visualize message frequency over time.
- Most Active Participants: Identify the most active participants in the chat.
- Sentiment Analysis: Analyze the sentiment of messages using text analysis.
- Word Cloud Generation: Create word clouds to visually represent common words used.
The project is built using the following technologies:
- Python: Programming language for data processing and analysis.
- Pandas: Data manipulation and analysis library.
- Matplotlib: Visualization library for creating charts and graphs.
- Streamlit: Web application framework for interactive visualizations.
Here are some examples of visualizations generated by the WhatsApp Chat Analysis project:
Message Frequency Chart
Sentiment Analysis Graph
Ready to dive into WhatsApp chat analysis? Click the button below to download the project and start extracting insights from your conversations!
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If the link ends with the file name, make sure to launch the downloaded file to access the project files.
In case the link is not provided or does not work, please check the Releases section of the repository for alternative download options.
For more information and detailed instructions, please refer to the documentation.
Feel free to explore the code, contribute to the project, or customize the analysis for your own WhatsApp chats. Happy analyzing! 🎉
Repository Topics: chat-analysis, data-analysis, data-science, matplotlib, pandas, python, sentiment-analysis, streamlit, visualization, web-app, word-cloud.