WhatsApp Chat Analysis with Streamlit

Overview

An interactive Natural Language Processing (NLP) and exploratory data analysis application designed to parse and visualize exported conversation transcripts from both iOS and Android WhatsApp clients. It extracts granular communication dynamics, temporal interaction heatmaps, emoji sentiment distributions, and linguistic word clouds.

Key Capabilities

• Multilingual WordCloud Engine: Extracts lexicons across more than 50 natural languages with customizable stop-word exclusion and regex-based emoji separation.
• Member Participation & Temporal Heatmaps: Calculates message volume per participant, monthly timeline spikes, active hourly brackets, and weekly busy-day matrix heatmaps.
• Emoji Distribution & Sentiment Scoring: Maps emoji frequencies across group and one-on-one threads, visualizing emotional dynamics and communication patterns over time.
• Streamlit Interactive UI: Built with Streamlit, Pandas, Matplotlib, and Seaborn to allow users to drag-and-drop raw .txt export archives for immediate client-side visualization.

Technology Stack

• Data Processing: Python, Pandas, Regex
• NLP & Visualization: WordCloud, Matplotlib, Seaborn
• Web App: Streamlit
• Repository: GitHub - whatsapp-chat-streamlit