A hybrid modeling approach for an automated lyrics-rating system for adolescents

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dc.contributor.authorKim, Jayongko
dc.contributor.authorYi, Mun Yongko
dc.date.accessioned2019-07-08T05:10:08Z-
dc.date.available2019-07-08T05:10:08Z-
dc.date.created2019-06-26-
dc.date.issued2019-04-
dc.identifier.citation41st European Conference on Information Retrieval, ECIR 2019, pp.779 - 786-
dc.identifier.urihttp://hdl.handle.net/10203/263083-
dc.description.abstractThe South Korean government operates human-based lyrics-rating systems to reduce adolescents’ exposure to inappropriate songs. In this study, we developed lyrics classification models for an automated lyrics-rating system for adolescents. There are two kinds of inappropriate lyrics for adolescents: (1) lyrics with inappropriate words and (2) lyrics with inappropriate content based on the semantic context. To tackle the first issue, we propose logCD-
dc.languageEnglish-
dc.publisherSpringer Verlag-
dc.titleA hybrid modeling approach for an automated lyrics-rating system for adolescents-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.beginningpage779-
dc.citation.endingpage786-
dc.citation.publicationname41st European Conference on Information Retrieval, ECIR 2019-
dc.identifier.conferencecountryGE-
dc.identifier.conferencelocationMaternushaus, Cologne-
dc.identifier.doi10.1007/978-3-030-15712-8_53-
dc.contributor.localauthorYi, Mun Yong-
dc.contributor.nonIdAuthorKim, Jayong-
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IE-Conference Papers(학술회의논문)
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