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

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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
Publisher
Springer Verlag
Issue Date
2019-04
Language
English
Citation

41st European Conference on Information Retrieval, ECIR 2019, pp.779 - 786

DOI
10.1007/978-3-030-15712-8_53
URI
http://hdl.handle.net/10203/263083
Appears in Collection
IE-Conference Papers(학술회의논문)
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