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A Python tool that analyzes WhatsApp chat exports to generate detailed statistics about messages, media usage, and temporal patterns. Features include message counts, media stats, call analysis, and most used words/emojis.
A Python-based tool that analyzes emojis to predict their associated emotions—positive, neutral, or negative—with clear confidence scores. It features both a simple console interface and an interactive Streamlit web app for real-time emoji sentiment analysis and exploration.
This repository provides a comprehensive analysis of YouTube comments and related data, leveraging sentiment analysis, emoji usage, word cloud generation, and various graphical visualizations. Key steps include: Data Preparation, Sentiment, WordCloud, Emoji, Data Collection & Analysis
In-depth analysis of YouTube Data
WhatsApp Chat Analyzer extracts insights from chat data, visualizing activity trends, emoji usage, and sentiment analysis using "ganeshkharad/gk-hinglish-sentiment". Built with Streamlit, Pandas, and Matplotlib for interactive analysis. 🚀