@inproceedings{dd5f57fedfed437cac1f63203e61c4c5,
title = "A trend analysis on concreteness of popular song lyrics",
abstract = "Recently, music complexity has drawn attention from researchers in Music Digital Libraries area. In particular, computational methods to measure music complexity have been studied to provide better music services in large-scale music digital libraries. However, the majority of music complexity research has focused on audio-related facets of music, while song lyrics have been rarely considered. Based on the observation that most popular songs contain lyrics, whose different levels of complexity contribute to the overall music complexity, this paper investigates song lyric complexity and how it might be measured computationally. In particular, this paper examines the concreteness of song lyrics using trend analysis. Our analysis on the popular songs indicates that concreteness of popular song lyrics fell from the middle of the 1960s until the 1990s and rose after that. The advent of Hip-Hop/Rap and the number of words in song lyrics are highly correlated with the rise in concreteness after the early 1990s.",
keywords = "Concreteness of words, Readability, Song lyrics, Text complexity, Trend analysis",
author = "Kahyun Choi and Downie, {J. Stephen}",
note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 6th International Conference on Digital Libraries for Musicology, DLfM 2019, a Satellite Event of ISMIR 2019 ; Conference date: 09-11-2019",
year = "2019",
month = nov,
day = "20",
doi = "10.1145/3358664.3358673",
language = "English (US)",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "43--52",
booktitle = "Proceedings of DLfM 2019",
}