University of Bahrain
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Verse-Based Emotion Analysis of Bengali Music from Lyrics Using Machine Learning and Neural Network Classifiers

Show simple item record Mia, Maraz Das, Pulock Habib, Ahsan 2023-05-14T18:15:05Z 2023-05-14T18:15:05Z 2023-05-14
dc.identifier.issn 2210-142X
dc.description.abstract Throughout the decades, music has been involved with humans’ emotions and inner imaginations. Along with the overgrowing demands for the overhead reduction of human-aided processes, the urge for automation in the linguistic domain has become a preponderance. Research related to Natural Language Processing (NLP), have been flourished well enough in the case of English and other contemporary modern languages. Although Bengali is an enriched multipurpose language with so wide varieties and precious dialects, very few researches have been conducted on emotion recognition in Bengali music. Besides, the Bengali music archive is blessed with pioneering works of some world-class writers, and in addition to that, modern music enthusiasts’ versatile music predilection has made the task of automation in sentiment analysis quite interesting and challenging. In this study, we introduce a verse-based emotion analysis system for Bengali songs that is able to identify certain emotions from textual data. To appraise the relevant results of our resorted approach, we used several Machine Learning (ML) and Neural Network (NN) models. Eventually, we were able to achieve the best accuracy of 80% and 65% using Bidirectional Encoder Representations from Transformers (BERT) model for both three and two emotion classes. en_US
dc.language.iso en en_US
dc.publisher University Of Bahrain en_US
dc.subject Natural Language Processing en_US
dc.subject Music Information Retrieval (MIR) en_US
dc.subject Sentiment Analysis en_US
dc.subject Multi-Class Classification en_US
dc.subject Machine Learning en_US
dc.subject Neural Network en_US
dc.title Verse-Based Emotion Analysis of Bengali Music from Lyrics Using Machine Learning and Neural Network Classifiers en_US
dc.type Article en_US
dc.volume 13 en_US
dc.issue 1 en_US
dc.pagestart 1 en_US
dc.pageend 10 en_US
dc.contributor.authorcountry Bangladesh en_US
dc.contributor.authoraffiliation Institute of Information and Communication Technology, Shahjalal University of Science and Technology, Sylhet en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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