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    <abstract>The genre of a song defines both musical (rhythmic, timbral, performative) aspects of a song, but also the themes of lyrics and the style of writing. The audience has certain expectations as to emotional and thematic content of the genre they listen to. In this paper we use Music4All database to investigate whether breaking these expectations influences song popularity. We use topic modeling to divide song lyrics into 36 clusters, and apply tag clustering to separate the songs into 15 musical genres. We observe that in some genres (metal, hip-hop) lyrics are mostly written in specific topics, whereas in other genres they are spread over most topics. In most genres, songs that have lyrics that are not representative of the genre, are more popular than songs with genre-conforming lyrics.</abstract>
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%0 Conference Proceedings
%T Genre-Conformity in the Topics of Lyrics and Song Popularity
%A Aljanaki, Anna
%Y Kruspe, Anna
%Y Oramas, Sergio
%Y Epure, Elena V.
%Y Sordo, Mohamed
%Y Weck, Benno
%Y Doh, SeungHeon
%Y Won, Minz
%Y Manco, Ilaria
%Y Meseguer-Brocal, Gabriel
%S Proceedings of the 3rd Workshop on NLP for Music and Audio (NLP4MusA)
%D 2024
%8 November
%I Association for Computational Lingustics
%C Oakland, USA
%F aljanaki-2024-genre
%X The genre of a song defines both musical (rhythmic, timbral, performative) aspects of a song, but also the themes of lyrics and the style of writing. The audience has certain expectations as to emotional and thematic content of the genre they listen to. In this paper we use Music4All database to investigate whether breaking these expectations influences song popularity. We use topic modeling to divide song lyrics into 36 clusters, and apply tag clustering to separate the songs into 15 musical genres. We observe that in some genres (metal, hip-hop) lyrics are mostly written in specific topics, whereas in other genres they are spread over most topics. In most genres, songs that have lyrics that are not representative of the genre, are more popular than songs with genre-conforming lyrics.
%U https://aclanthology.org/2024.nlp4musa-1.1/
%P 1-4

Markdown (Informal)

[Genre-Conformity in the Topics of Lyrics and Song Popularity](https://aclanthology.org/2024.nlp4musa-1.1/) (Aljanaki, NLP4MusA 2024)

• Genre-Conformity in the Topics of Lyrics and Song Popularity (Aljanaki, NLP4MusA 2024)

ACL

• Anna Aljanaki. 2024. Genre-Conformity in the Topics of Lyrics and Song Popularity. In Proceedings of the 3rd Workshop on NLP for Music and Audio (NLP4MusA), pages 1–4, Oakland, USA. Association for Computational Lingustics.