Whatsapp Chat Analyzer Using Machine Learning and Natural Language Processing

The most popular and effective form of electronic communication now in use is WhatsApp. There are many different types of conversations that take place among groups of individuals in WhatsApp chats. This data can offer a wealth of information for cutting-edge technologies like machine learning. Users have a platform to analyze WhatsApp conversations through WhatsApp chat analyzer. The input for the WhatsApp chat analyzer is a text file that has been exported from WhatsApp. The main goals of this essay are to identify emotions, present various concepts, visualizations, and analyze discussions. It provides a detailed examination of the total number of messages, each user's activity, the overall volume of words, the monthly timeline, the busiest day, and a variety of other statistics. Also, it provides graphic representations of weekly activity and the busiest users, and we may exploit these results.