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Authors: Ricardo Malheiro 1 ; Hugo Gonçalo Oliveira 2 ; Paulo Gomes 2 and Rui Pedro Paiva 2

Affiliations: 1 Center for Informatics and Systems of the University of Coimbra (CISUC) and Miguel Torga Higher Institute, Portugal ; 2 Center for Informatics and Systems of the University of Coimbra (CISUC), Portugal

ISBN: 978-989-758-203-5

Keyword(s): Music Information Retrieval, Lyrics Music Emotion Recognition, Lyrics Music Emotion Variation Detection, Keyword based Approach.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Symbolic Systems

Abstract: This 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.

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Paper citation in several formats:
Malheiro R., Oliveira H., Gomes P. and Paiva R. (2016). Keyword-based Approach for Lyrics Emotion Variation Detection.In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-203-5, pages 33-44. DOI: 10.5220/0006037300330044

@conference{kdir16,
author={Ricardo Malheiro and Hugo Gonçalo Oliveira and Paulo Gomes and Rui Pedro Paiva},
title={Keyword-based Approach for Lyrics Emotion Variation Detection},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2016},
pages={33-44},
doi={10.5220/0006037300330044},
isbn={978-989-758-203-5},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - Keyword-based Approach for Lyrics Emotion Variation Detection
SN - 978-989-758-203-5
AU - Malheiro R.
AU - Oliveira H.
AU - Gomes P.
AU - Paiva R.
PY - 2016
SP - 33
EP - 44
DO - 10.5220/0006037300330044

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