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

Amrut Ranjan Jena1 , Pratyush Kumar2 , Rafiqul Islam3

Section:Research Paper, Product Type: Journal Paper
Volume-11 , Issue-01 , Page no. 266-269, Nov-2023

Online published on Nov 30, 2023

Copyright © Amrut Ranjan Jena, Pratyush Kumar, Rafiqul Islam . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Amrut Ranjan Jena, Pratyush Kumar, Rafiqul Islam, “WhatsApp Analyzer: A Tool to Measure the User Performance in Social Platform,” International Journal of Computer Sciences and Engineering, Vol.11, Issue.01, pp.266-269, 2023.

MLA Style Citation: Amrut Ranjan Jena, Pratyush Kumar, Rafiqul Islam "WhatsApp Analyzer: A Tool to Measure the User Performance in Social Platform." International Journal of Computer Sciences and Engineering 11.01 (2023): 266-269.

APA Style Citation: Amrut Ranjan Jena, Pratyush Kumar, Rafiqul Islam, (2023). WhatsApp Analyzer: A Tool to Measure the User Performance in Social Platform. International Journal of Computer Sciences and Engineering, 11(01), 266-269.

BibTex Style Citation:
@article{Jena_2023,
author = {Amrut Ranjan Jena, Pratyush Kumar, Rafiqul Islam},
title = {WhatsApp Analyzer: A Tool to Measure the User Performance in Social Platform},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2023},
volume = {11},
Issue = {01},
month = {11},
year = {2023},
issn = {2347-2693},
pages = {266-269},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1443},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1443
TI - WhatsApp Analyzer: A Tool to Measure the User Performance in Social Platform
T2 - International Journal of Computer Sciences and Engineering
AU - Amrut Ranjan Jena, Pratyush Kumar, Rafiqul Islam
PY - 2023
DA - 2023/11/30
PB - IJCSE, Indore, INDIA
SP - 266-269
IS - 01
VL - 11
SN - 2347-2693
ER -

           

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.

Key-Words / Index Term

WhatsApp chat analyzer, NumPy , Pandas , NLP, Matplotlib

References

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