sandhya-goyal/whatsapp_chat

WhatsApp Chat Analysis

Overview

The WhatsApp Chat Analysis project is a Python-based solution that automates the analysis of WhatsApp chat data. It leverages natural language processing (NLP) techniques to extract insights from chat conversations, including sentiment analysis and user activity statistics. This project aims to eliminate the manual effort involved in analyzing large chat datasets, providing a more efficient and accurate approach to gain valuable information from WhatsApp chats.

Features

• Chat data parsing: Extract chat messages and metadata from WhatsApp chat exports.
• Sentiment analysis: Analyze the sentiment (positive, negative, or neutral) of individual chat messages.
• User activity statistics: Calculate user-specific statistics, such as message count, media count, and average message length.
• Interactive visualizations: Generate visual representations, such as graphs and charts, to present the analyzed data in an easily understandable format.

Installation

To use the WhatsApp Chat Analysis project, follow these steps:

Clone the repository:

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  git clone  https://github.com/sandhya-goyal/WhatsappChatSentimentAnalysis.git
  

Install the required dependencies:

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  pip install streamlit
  pip install matplotlib
  pip install seaborn
  pip install urlextract
  pip install wordcloud
  pip install pandas
  pip install emoji
  

Run

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  streamlit run app.py