Keyword-Based Approach for Lyrics Emotion Variation Detection

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dc.contributor.authorMalheiro, Ricardo
dc.contributor.authorOliveira, Hugo Gonçalo
dc.contributor.authorGomes, Paulo
dc.contributor.authorPaiva, Rui Pedro
dc.date.accessioned2018-01-15T12:43:50Z
dc.date.available2018-01-15T12:43:50Z
dc.date.issued2016-01
dc.description.abstractThis research addresses the role of the lyrics in the context of music emotion variation detection. To accomplish this task we create a system to detect the predominant emotion expressed by each sentence (verse) of the lyrics. The system employs Russell’s emotion model and contains 4 sets of emotions associated to each quadrant. To detect the predominant emotion in each verse, we propose a novel keyword-based approach, which receives a sentence (verse) and classifies it in the appropriate quadrant. To tune the system parameters, we created a 129-sentence training dataset from 68 songs. To validate our system, we created a separate ground-truth containing 239 sentences (verses) from 44 songs annotated manually with an average of 7 annotations per sentence. The system attains 67.4% F-Measure score.pt_PT
dc.identifier.citationMalheiro, R, Oliveira H. G., Gomes, P. & Paiva, R. P. (2016). Keyword-Based Approach for Lyrics Emotion Variation Detection. 8th International Conference on Knowledge Discovery and Information Retrieval. DOI: 10.5220/0006037300330044pt_PT
dc.identifier.urihttp://repositorio.ismt.pt/handle/123456789/756
dc.language.isoenpt_PT
dc.publisher8th International Conference on Knowledge Discovery and Information Retrievalpt_PT
dc.subjectRecuperação de informação musical - Music information retrievalpt_PT
dc.subjectReconhecimento emocional de letras de músicas - Lyrics music emotion recognitionpt_PT
dc.subjectDeteção de variação emocional com as letras das músicas - Lyrics music emotion variation detectionpt_PT
dc.subjectAbordagem baseada em palavras-chave - Keyword based approachpt_PT
dc.titleKeyword-Based Approach for Lyrics Emotion Variation Detectionpt_PT
dc.typePresentationpt_PT
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