A hybrid modeling approach for an automated lyrics-rating system for adolescents
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Jayong | ko |
| dc.contributor.author | Yi, Mun Yong | ko |
| dc.date.accessioned | 2019-07-08T05:10:08Z | - |
| dc.date.available | 2019-07-08T05:10:08Z | - |
| dc.date.created | 2019-06-26 | - |
| dc.date.issued | 2019-04 | - |
| dc.identifier.citation | 41st European Conference on Information Retrieval, ECIR 2019, pp.779 - 786 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/263083 | - |
| dc.description.abstract | The 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.language | English | - |
| dc.publisher | Springer Verlag | - |
| dc.title | A hybrid modeling approach for an automated lyrics-rating system for adolescents | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.beginningpage | 779 | - |
| dc.citation.endingpage | 786 | - |
| dc.citation.publicationname | 41st European Conference on Information Retrieval, ECIR 2019 | - |
| dc.identifier.conferencecountry | GE | - |
| dc.identifier.conferencelocation | Maternushaus, Cologne | - |
| dc.identifier.doi | 10.1007/978-3-030-15712-8_53 | - |
| dc.contributor.localauthor | Yi, Mun Yong | - |
| dc.contributor.nonIdAuthor | Kim, Jayong | - |
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