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Multi-model Fusion for Emotion Detection in Text: A Stacking and Majority Voting Approach

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Bibliographic Details
Published in:International Journal of Information Technology and Computer Science
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Information Technology and Computer Science
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78394
institution FRELIP
journal_source_facet International Journal of Information Technology and Computer Science
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Multi-model Fusion for Emotion Detection in Text: A Stacking and Majority Voting Approach
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Multi-model Fusion for Emotion Detection in Text: A Stacking and Majority Voting Approach
title_auth Multi-model Fusion for Emotion Detection in Text: A Stacking and Majority Voting Approach
title_full Multi-model Fusion for Emotion Detection in Text: A Stacking and Majority Voting Approach
title_fullStr Multi-model Fusion for Emotion Detection in Text: A Stacking and Majority Voting Approach
title_full_unstemmed Multi-model Fusion for Emotion Detection in Text: A Stacking and Majority Voting Approach
title_short Multi-model Fusion for Emotion Detection in Text: A Stacking and Majority Voting Approach
title_sort multi-model fusion for emotion detection in text: a stacking and majority voting approach
topic Computer Science
General
Computer Science
url https://www.mecs-press.org/ijitcs/ijitcs-v18-n3/v18n3-12.html