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Emojis Segmentation from WhatsApp Chat Messages Using K-Means Clustering Technique for Students Sentiment Analysis

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Bibliographic Details
Published in:VFAST Transactions on Software Engineering
Format: Online Article RSS Article
Published: 2025
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container_title VFAST Transactions on Software Engineering
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:12554
institution FRELIP
journal_source_facet VFAST Transactions on Software Engineering
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Emojis Segmentation from WhatsApp Chat Messages Using K-Means Clustering Technique for Students Sentiment Analysis
Software
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Software
Technology & Engineering — Computing
Technology & Engineering
Software
Technology & Engineering — Computing
Technology & Engineering
subject_facet Software
Technology & Engineering — Computing
Technology & Engineering
title Emojis Segmentation from WhatsApp Chat Messages Using K-Means Clustering Technique for Students Sentiment Analysis
title_auth Emojis Segmentation from WhatsApp Chat Messages Using K-Means Clustering Technique for Students Sentiment Analysis
title_full Emojis Segmentation from WhatsApp Chat Messages Using K-Means Clustering Technique for Students Sentiment Analysis
title_fullStr Emojis Segmentation from WhatsApp Chat Messages Using K-Means Clustering Technique for Students Sentiment Analysis
title_full_unstemmed Emojis Segmentation from WhatsApp Chat Messages Using K-Means Clustering Technique for Students Sentiment Analysis
title_short Emojis Segmentation from WhatsApp Chat Messages Using K-Means Clustering Technique for Students Sentiment Analysis
title_sort emojis segmentation from whatsapp chat messages using k-means clustering technique for students sentiment analysis
topic Software
Technology & Engineering — Computing
Technology & Engineering
url https://vfast.org/journals/index.php/VTSE/article/view/2190