Keyword-based Approach for Lyrics Emotion Variation Detection

Ricardo Malheiro, Hugo Gonçalo Oliveira, Paulo Gomes, Rui Pedro Paiva

2016

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 Harvard Style

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, (IC3K 2016) ISBN 978-989-758-203-5, pages 33-44. DOI: 10.5220/0006037300330044


in Bibtex Style

@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, (IC3K 2016)},
year={2016},
pages={33-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006037300330044},
isbn={978-989-758-203-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)
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