WhatsApp Chat Analyser

Authors

  • Eshan Bhuse Department of Computer Engineering, Sardar Patel Institute of Technology, Mumbai, India
  • Om Doshi Department of Computer Engineering, Sardar Patel Institute of Technology, Mumbai, India
  • Sahil Gavande Department of Computer Engineering, Sardar Patel Institute of Technology, Mumbai, India
  • Anuj Tawari Department of Computer Engineering, Sardar Patel Institute of Technology, Mumbai, India

DOI:

https://doi.org/10.65138/ijresm.v9i2.3418

Abstract

WhatsApp is a well-known social networking platform with more than 2 billion members. WhatsApp is a vital communication tool in people's lives. They use WhatsApp to send text messages expressing their emotions. Since WhatsApp is available in more than 180 countries, code-switching is frequent. Additionally, as emojis have grown more widely used and prevalent, they are now essential for sentiment research. This paper discusses our method for transforming unstructured WhatsApp messages into a structured format that can be used for sentiment analysis using a variety of data mining techniques. We go over how we handle codemixing, the many emojis and the feelings they represent, and how to use this method to conduct basic analysis.

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Published

28-02-2026

Issue

Vol. 9 No. 2 (2026)

Section

Articles

License

Copyright (c) 2026 Eshan Bhuse, Om Doshi, Sahil Gavande, Anuj Tawari

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
E. Bhuse, O. Doshi, S. Gavande, and A. Tawari, “WhatsApp Chat Analyser”, IJRESM, vol. 9, no. 2, pp. 48–51, Feb. 2026, doi: 10.65138/ijresm.v9i2.3418.

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