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Music Emotion Classification based on Lyrics-Audio using Corpus based Emotion

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 3 (2018)

DOI
10.11591/ijece.v8i3.pp1720-1730
ISSN
2088-8708, 2088-8708
Published
2018-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Music has lyrics and audio. That’s components can be a feature for music emotion classification. Lyric features were extracted from text data and audio features were extracted from audio signal data.In the classification of emotions, emotion corpus is required for lyrical feature extraction. Corpus Based Emotion (CBE) succeed to increase the value of F-Measure for emotion classification on text documents. The music document has an unstructured format compared with the article text document. So it requires good preprocessing and conversion process before classification process. We used MIREX Dataset for this research. Psycholinguistic and stylistic features were used as lyrics features. Psycholinguistic feature was a feature that related to the category of emotion. In this research, CBE used to support the extraction process of psycholinguistic feature. Stylistic features related with usage of unique words in the lyrics, e.g. ‘ooh’, ‘ah’, ‘yeah’, etc. Energy, temporal and spectrum features were extracted for audio features.The best test result for music emotion classification was the application of Random Forest methods for lyrics and audio features. The value of F-measure was 56.8%.

Collaboration network of the authors

40 authors · 73 co-authorship links · 16 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Institut Teknologi Sepuluh Nopember
  • University of Brawijaya
  • Universitas Airlangga
  • Hasanuddin University
  • University of Indonesia
  • Universitas Dian Nuswantoro
  • Politeknik Negeri Malang
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nanik SuciatiInstitut Teknologi Sepuluh Nopember9
Diana PurwitasariInstitut Teknologi Sepuluh Nopember8
Handayani TjandrasaInstitut Teknologi Sepuluh Nopember7
Siti RochimahInstitut Teknologi Sepuluh Nopember5
Kelly Rossa SungkonoInstitut Teknologi Sepuluh Nopember4
Anny YuniartiInstitut Teknologi Sepuluh Nopember3
Ahmad SaikhuInstitut Teknologi Sepuluh Nopember3
Rachmad AbdullahInstitut Teknologi Sepuluh Nopember3
Hari GinardiInstitut Teknologi Sepuluh Nopember2
Hilya TsaniyaInstitut Teknologi Sepuluh Nopember2
Hendra MesraHasanuddin University2
Imam GhozaliInstitut Teknologi Sepuluh Nopember2
Eha Renwi AstutiUniversitas Airlangga2
Ramadhan Hardani PutraUniversitas Airlangga2
Bilqis AmaliahInstitut Teknologi Sepuluh Nopember2
M. Rahmat WidyantoUniversity of Indonesia1
Jayanti Yusmah SariInstitut Teknologi Sepuluh Nopember1
Mutmainnah MuchtarInstitut Teknologi Sepuluh Nopember1
Evan TanuwijayaInstitut Teknologi Sepuluh Nopember1
Tohari AhmadInstitut Teknologi Sepuluh Nopember1
Solichul HudaUniversitas Dian Nuswantoro1
Yuita Arum SariUniversity of Brawijaya1
Ratih Kartika DewiUniversity of Brawijaya1
Faisal RahutomoPoliteknik Negeri Malang1
Yudhi PurwanantoInstitut Teknologi Sepuluh Nopember1
Junaidi JunaidiAffiliation unknown1
Faida RoyaniAffiliation unknown1
Dewi RosidaAffiliation unknown1
Margo PudjiantaraInstitut Teknologi Sepuluh Nopember1
Evy Kamilah RatnasariInstitut Teknologi Sepuluh Nopember1
Nur HayatinUniversitas Muhammadiyah Malang1
Mustika MentariInstitut Teknologi Sepuluh Nopember1
Rizal Setya PerdanaUniversity of Brawijaya1
Fahrur RoziInstitut Teknologi Sepuluh Nopember1
Ahmad Hayam BrilianAffiliation unknown1
Aditya BagusmulyaInstitut Teknologi Sepuluh Nopember1
Mirza Galih KurniawanInstitut Teknologi Sepuluh Nopember1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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