WhatsApp Chat Analysis Based on NLP Using Machine Learning

DOI

10.59256/ijire.2023040238

Published In

Volume 4, Issue 2 (2023)

Published Online

March-April 2023

Pages

635-640

Article Type

Research Article

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Abstract: A program called WhatsApp has emerged as the most popular and effective means of communication in recent years. The program, called WhatsApp Chat Analyzer, is set up on Heroku Web and offers analysis of WhatsApp groups. Although there are many other approaches for analysis, matplotlib, stream lit, sea born, re, panda's libraries of Python, and certain NLP concepts are employed here. This is the fusion of NLP with machine learning. This WhatsApp conversation analyzer imports a user's WhatsApp chat file, analyses it, and outputs several visualization’s. I've suggested a WhatsApp Chat Analyzer in this report. Different forms of communication between groups and individuals are included in WhatsApp chats. Different subjects are covered in this talk. This could give machine learning technology more data to work with. The correct learning experience is offered by machine learning models, which is a crucial factor that is indirectly impacted by the data supplied to that model. This program offers analysis of the information that WhatsApp provides. This application has the benefit of being implemented by straightforward python libraries, such as sea born, pandas, numpy, stream lit, and matplotlib, which are frequently used to build data frames and other graphs. This is shown on the web using a heroku link, which is accessible from any device with a browser.