loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.227.134.162

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Malheiro, R., Oliveira, H. G., Gomes, P. and Paiva, R. P. (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 (IC3K 2016) - KDIR; ISBN 978-989-758-203-5; ISSN 2184-3228, SciTePress, pages 33-44. DOI: 10.5220/0006037300330044

@conference{kdir16,
author={Ricardo Malheiro and Hugo Gon\c{c}alo 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 (IC3K 2016) - KDIR},
year={2016},
pages={33-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006037300330044},
isbn={978-989-758-203-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR
TI - Keyword-based Approach for Lyrics Emotion Variation Detection
SN - 978-989-758-203-5
IS - 2184-3228
AU - Malheiro, R.
AU - Oliveira, H.
AU - Gomes, P.
AU - Paiva, R.
PY - 2016
SP - 33
EP - 44
DO - 10.5220/0006037300330044
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic