The WhatsApp app has recently become a popular SMS replacement in many nations. It is currently the most popular and effective form of communication. Various types of conversations are held among groups of individuals in WhatsApp chats. More than 2 billion people use WhatsApp worldwide, and a poll found that the typical user spends more than 195 min a week on the app. Several subjects have been discussed in this regard. This data can offer information for cutting-edge technologies like machine learning. An application that provides an analysis of WhatsApp chat analyzer has been developed. In this application, group chat sentiment analysis is also analyzed. This is the fusion of NLP with machine learning. This WhatsApp conversation analyzer imports a user's WhatsApp chat file, analyzes it, and produces various visualizations. It also performs sentiment analysis for group chats.

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Implementation of WhatsApp Chat Data Analyzer Using Fusion of NLP and Machine Learning

  • Pushpa Choudhary,
  • Mahesh Kumar Singh,
  • Arun Kumar Singh,
  • Pushpendra Singh,
  • Akhilesh Kumar Singh

摘要

The WhatsApp app has recently become a popular SMS replacement in many nations. It is currently the most popular and effective form of communication. Various types of conversations are held among groups of individuals in WhatsApp chats. More than 2 billion people use WhatsApp worldwide, and a poll found that the typical user spends more than 195 min a week on the app. Several subjects have been discussed in this regard. This data can offer information for cutting-edge technologies like machine learning. An application that provides an analysis of WhatsApp chat analyzer has been developed. In this application, group chat sentiment analysis is also analyzed. This is the fusion of NLP with machine learning. This WhatsApp conversation analyzer imports a user's WhatsApp chat file, analyzes it, and produces various visualizations. It also performs sentiment analysis for group chats.