Wanalyicia - WhatsApp Chat Analyzer

📜 Table of Contents

• Introduction
• Features
• Technologies Used
• Getting Started
• Dependencies
• Setup and Launch
• Contribution Guidelines
• Feedback & Contact

🌟 Introduction

Wanalyicia is an insightful tool that lets users dive deep into their WhatsApp chat narratives, unveiling a spectrum of data-driven revelations. This tool gives users the ability to comprehend various facets of their chat – from sentiment landscapes to user engagement metrics.

Experience Wanalyicia live: Wanalyicia: WhatsApp Chat Analyzer

Why Wanalycia? Because every conversation carries insights. With Wanalyicia, you don't just read messages. You understand them.

🔥 Features

• Flexible Upload System: Whether you have exported your chats in .txt or .csv format, Wanalyicia has got you covered.

• In-depth User Analysis: Understand how each user contributes to a group chat. Get insights on message counts, word frequencies, media shared, and more.

• Sentiment Dynamics: Wanalycia doesn't just tell you what was said but also indicates the tone. With advanced sentiment analysis, you can gauge the mood swings and emotional undertones of your chat history.

• Topic Modeling: What do you often discuss? With TF-IDF and LDA analysis, Wanalyicia brings out the core topics and keywords of your conversations.

• Visual Activity Metrics: Data makes sense when visualized. See how your chat activity varies over hours, days, weeks, or even years.

• Lexical & Emoji Trends: Get word clouds showcasing dominant words and emojis. Understand the verbal and non-verbal essence of your conversations.

• Time-based Analysis: Break down chat patterns based on specific time intervals for pinpointed insights.

💡 Technologies Used

• Backend: Python is at the heart of Wanalyicia, making data processing fast and efficient.
• Frontend: Streamlit offers a user-friendly interface that's intuitive to navigate.
• Visualization: Matplotlib, Seaborn, and Plotly bring the chat data to life with vivid visualizations.
• Data Analysis: With Pandas and NumPy, data manipulation is a breeze.
• Natural Language Processing: Scikit-learn provides the tools needed to perform advanced text analytics.

🚀 Getting Started

Follow these steps if you're looking to understand your WhatsApp conversations:

1. Start by exporting the chat (without media) from WhatsApp.
2. Head over to the Wanalycia portal. live Demo: Wanalyicia: WhatsApp Chat Analyzer
3. Click on the upload icon to insert the chat file.
4. If it's a group chat, you can select specific users for analysis.
5. Choose the type of analysis you're interested in.
6. Let Wanalycia work its magic and prepare to be amazed!

📦 Dependencies

Ensure your environment has the following packages:

• streamlit
• pandas
• numpy
• matplotlib
• seaborn
• pillow
• plotly
• scikit-learn
• wordcloud
• textblob
• vaderSentiment
• emoji
• urlextract

💼 Setup and Launch

1. Clone the repository:

   git clone https://github.com/supriya811106/WhatsApp-Chat-Analyzer-App.git
   cd WhatsApp-Chat-Analyzer-App

2. Environment Setup:

   python -m venv venv
   source venv/bin/activate (or 'venv\Scripts\activate' on Windows)

3. Install the necessary packages:

   pip install -r requirement.txt

4. Run the Streamlit application:

   streamlit run app.py
   

🤝 Contribution Guidelines

We believe in the power of collective intelligence:

1. Fork the repository.
2. Create a feature branch: git checkout -b feature-branch-name.
3. Commit your changes: git commit -am 'Added some amazing features'.
4. Push to the branch: git push origin feature-branch-name.
5. Create a Pull Request.

Remember to regularly sync your fork with the upstream repository and ensure all unit tests pass before submitting a PR!

✉ Feedback & Contact

Every piece of feedback helps to create a better experience. Share your thoughts, critiques, or even praises:

Email: supriyasuman0708@gmail.com