Emotion Classification in Music: Leveraging Machine Learning for Music Therapy and Emotional Response Analysis

Abstract Emotion classification in music is an evolving domain within affective computing that holds significant promise for applications in music therapy, personalized media experiences, and adaptive systems. This study proposes a comprehensive machine learning framework for multi-label emotion rec...

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Bibliografische gegevens

Hoofdauteur:	Jing Wu
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Springer 2026-04-01
Reeks:	International Journal of Computational Intelligence Systems
Onderwerpen:	Music Emotion Recognition Multi-label Classification Stacking Ensemble Emotify Dataset Machine Learning Metadata Fusion
Online toegang:	https://doi.org/10.1007/s44196-026-01304-0
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