Analyze Whatsapp chat
Whatsapp Sentiment Analysis and Youtube Comment Sentiment Analysis
A comprehensive Python library for analyzing WhatsApp chat exports. This library provides tools for preprocessing WhatsApp chat data and performing various analyses including sentiment analysis, user activity patterns, conversation patterns, and more.
An advanced, offline analytics dashboard for WhatsApp. built with Python and Streamlit. Visualizes chat patterns, behavioral metrics (ghosting, reply times), gender demographics, contact races and "Hall of Fame" statistics using your local msgstore.db backup.
Analyse your complete WhatsApp message history by directly analysing the backup file.
AI monthly report generator for local businesses. Drop a CSV from Instagram DMs, WhatsApp, PoS, or Google Sheets → one printable one-page briefing: KPIs with deltas, top categories, patterns, recommendations. OpenAI / Anthropic / Gemini. Next.js 15 + SQLite + AES-256-GCM vault.
Pipeline de Ingeniería de Datos diseñado para extraer, transformar y estructurar historiales de WhatsApp desde Genesys Cloud API hacia Delta Lake, utilizando PySpark en Databricks para el entrenamiento de LLMs
A WhatsApp chat sentiment analysis tool that visualizes user interactions and activity trends using machine learning and NLP techniques.
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