WhatsApp Analyzer: A Tool to Measure the User Performance in Social Platform

Authors

  • Amrut Ranjan Jena CSE, GNIT, Kolkata, India
  • Pratyush Kumar CSE, GNIT, Kolkata, India
  • Rafiqul Islam CSE, GNIT, Kolkata, India

Keywords:

WhatsApp chat analyzer, NumPy, Pandas, NLP, Matplotlib

Abstract

An application called WhatsApp has emerged as the most popular and effective means of communication in recent years. The heroku web application called WhatsApp Chat analyzer provides analysis of WhatsApp groups. In this paper authors applied matplotlib, streamlit, seaborn, re, pandas, and certain NLP concepts for analyzing WhatsApp chart. Here authors combine machine learning with NLP. This WhatsApp conversation analyzer imports a user's WhatsApp chat file, analyses it, and produces various visualizations as a consequence

References

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Published

2026-01-19

How to Cite

[1]
A. R. Jena, P. Kumar, and R. Islam, “WhatsApp Analyzer: A Tool to Measure the User Performance in Social Platform”, Int. J. Comp. Sci. Eng., vol. 11, no. 1, pp. 266–269, Jan. 2026.

Issue

Vol. 11 No. 1 (2023): Special Issue-1 Nov Editon

Section

Research Article

License

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