Analyzing a WhatsApp Conversation for both Textual Contents and Emotional Sentiments

Authors

  • Vineethalakshmi Boyapati Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, India
  • Jyothireddy Dronadula Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, India
  • Smilysrinidhi Gollapati Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, India
  • Shakeelahmed Md Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, India
  • Udayasri Bodapati Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, India
  • Shakeelahmed Md Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, India

DOI:

https://doi.org/10.26438/ijcse/v11i10.6470

Keywords:

WhatsApp Chat,, Sentiment Analysis, Stream lit, Nature Language Processing, NMF, Emotion Analysis

Abstract

WhatsApp, one of the most widely used instant messaging applications, has transformed the way people communicate globally. It presents an overview of WhatsApp chat analysis, a burgeoning field that leverages the vast amount of textual data generated through WhatsApp with the help of this platform users now have a convenient way to connect with their social networks, professional networks, and commercial partners. This give an analysis of the WhatsApp group data in order to determine the degree of participation and involvement among the group`s members. Additionally, it requires analyzing the most active day in the group, the quantity of messages sent on that date, the most active user overall, the list of active admins in the group, the overall user count, the quantity of posts made by each user in the group, and the most frequently used term on the platform. The analysis was able to demonstrate the level of participation of the various people on the specified WhatsApp group.

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Published

2023-10-31
CITATION
DOI: 10.26438/ijcse/v11i10.6470
Published: 2023-10-31

How to Cite

[1]
V. Boyapati, J. Dronadula, S. Gollapati, S. Md, U. Bodapati, and S. Md, “Analyzing a WhatsApp Conversation for both Textual Contents and Emotional Sentiments”, Int. J. Comp. Sci. Eng., vol. 11, no. 10, pp. 64–70, Oct. 2023.

Issue

Vol. 11 No. 10 (2023): IJCSE October Edition

Section

Research Article

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