WhatsApp Chat Analyzer

For 24 hour phone format only

The WhatsApp Chat Analyzer is a Streamlit application designed to analyze WhatsApp chat data. It provides insights into chat statistics, user activity, word frequency, and more, allowing users to gain valuable information from their chat history.

Features

• Upload Chat Data: Users can upload their exported WhatsApp chat files for analysis.
• User-Specific Analysis: Select specific users or view overall statistics.
• Key Statistics: Displays total messages, words, media shared, links shared, and the most and least active users.
• Visualizations:
  • Most busy users bar chart.
  • Word cloud of frequently used words.
  • Bar charts for the most common words.
  • Activity maps for the busiest days and months.
  • Timelines showing daily and monthly message trends.

Setup Instructions

1. Clone the repository

git clone https://github.com/yourusername/whatsapp-chat-analyzer.git
cd whatsapp-chat-analyzer

2. Install required libraries

Install the necessary packages listed in the requirements.txt file:

pip install -r requirements.txt

3. Run the Streamlit app

streamlit run app.py

File Structure

• app.py: Main file containing the Streamlit app code.
• preprocessor.py: Module for preprocessing chat data.
• helper.py: Module containing helper functions for analysis and visualization.
• requirements.txt: Lists all required Python libraries for the project.

Project Details

The application processes exported WhatsApp chat data and provides various analyses:

• Preprocessing: The preprocessor.py module handles data cleaning and formatting.
• Statistics Calculation: The helper.py module calculates statistics such as message count, media shared, and links shared.
• Visualizations: Various plots are generated using Matplotlib to visualize user activity, word usage, and timelines.

Usage

1. Upload Chat Data: Use the sidebar to upload your exported WhatsApp chat file.
2. Select User: Choose a specific user or "Overall" for collective statistics.
3. View Analysis: Click the "Show Analysis" button to display the statistics and visualizations.

Example

After uploading a chat file and selecting a user, the application will show insights such as the total number of messages sent by the user, the most active days, and a word cloud representing frequently used words.

IT WORKS FOR BOTH GROUP LEVEL and INDIVIDUAL LEVEL CHATS

Future Improvements

• Enhanced Visualizations: Incorporate more advanced visualization techniques for better insights.
• Sentiment Analysis: Add features to analyze the sentiment of the messages.
• Export Data: Allow users to download the analysis report as a PDF or CSV.