WhatsApp Chat Analyzer is a Python-based project that allows you to analyze your WhatsApp chat data. It provides insights into user conversations and behavior, and it's accessible through a user-friendly web interface created with Streamlit.
- The objective of this project is to develop a WhatsApp chat analysis tool that allows users to gain insights from their chat data.
- The challenge is to create a user-friendly web interface using Streamlit for chat data analysis, data cleansing, and visualization.
- This tool aims to provide meaningful insights into message frequency, user interactions, and chat patterns, simplifying the understanding of WhatsApp chat data.
- 📊 Project Overview
- 🧹 Data Cleaning and Analysis
- 📊 Data Visualization
- 🚀 Usage
- 📂 WhatsApp Chat Export Tutorial
- 🛠️ Challenges Faced
- 🔍 Insights Derived
- 🚀 Future Scope
- 🤝 Contributing
WhatsApp Chat Analyzer provides a comprehensive analysis of WhatsApp chat data. It includes data cleaning, analysis, and visualization to extract valuable insights from conversations.
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📥 Import WhatsApp Chat Data: Begin by importing the WhatsApp chat data from the text file you exported.
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🧹 Text Preprocessing: Perform text preprocessing to ensure data accuracy and consistency. This may include:
- Removing duplicates and irrelevant messages.
- Parsing message timestamps, senders, and message content.
- Handling special characters or formatting inconsistencies.
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🧬 Data Transformation: Transform the cleaned data into a structured format for analysis. Create variables for message timestamps, senders, and message content.
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📊 Metrics Calculation: Calculate relevant metrics, such as message count, media count, average message length, and sender statistics.
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💾 Save Cleaned Data: Save the cleaned and structured data for further analysis.
- Matplotlib and Seaborn are used to create visualizations, including:
- Message distribution over time.
- Top message senders.
- Word cloud for most frequent words.
- Media (images, videos) distribution.
- Emojis usage analysis.
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Export WhatsApp Chat:
- Open WhatsApp.
- Go to the upper-right corner and click on the three dots.
- Select "More" and then "Export chats."
- Export the chat to a text file on your system.
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Analyze Chat:
- Visit the project's website.
- Click on the "Browse file" button.
- Select the exported WhatsApp chat text file.
- Click on the "Show Analysis" button.
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Explore Insights:
- View statistics, charts, and insights about your WhatsApp chat.
- Open WhatsApp.
- In the upper-right corner, click on the three dots.
- Scroll down and find the "More" option, then click on it.
- In the "More" menu, you will find the "Export chats" option. Choose a chat to export, and save the chat data to a text file on your device.
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Data Cleaning: The project required thorough data cleaning to handle variations in chat formats, timestamps, and user messages.
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User-Friendly Interface: Designing a simple and intuitive web interface for users to upload chat data and view insights presented a challenge.
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Data Visualization: Creating informative and visually appealing charts and graphs to represent chat patterns and insights was a key challenge.
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User Interaction Patterns: Analyzing message frequency, active users, and word clouds provided insights into user engagement and communication patterns.
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Data Visualization: Utilizing Matplotlib and Seaborn libraries, the project visualized chat data effectively, enabling users to grasp trends and patterns.
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Data Cleaning: Expertise in data preprocessing and cleaning ensured that the chat data was accurate and ready for analysis.
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Advanced Analysis: Implement advanced natural language processing (NLP) techniques for sentiment analysis and chatbot integration.
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User Segmentation: Enhance user insights by segmenting users based on chat activity, preferences, and interactions.
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Enhanced Reporting: Develop customizable report generation to provide users with detailed chat statistics and summaries.
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Integration: Explore integration with cloud storage services for seamless chat data access.
- Contributions to this project are welcome! If you have suggestions, improvements, or additional features to propose, please feel free to fork the repository, make your changes, and submit a pull request.
You can access the WhatsApp Chat Analyzer through the following link:
Simply click on the link to visit the website and start analyzing your WhatsApp chat data.