Using machine learning analysis to interpret the relationship between music emotion and lyric features.

ABSTRACT: Melody and lyrics, reflecting two unique human cognitive abilities, are usually combined in music to convey emotions. Although psychologists and computer scientists have made considerable progress in revealing the association between musical structure and the perceived emotions of music, the features of lyrics are relatively less discussed. Using linguistic inquiry and word count (LIWC) technology to extract lyric features in 2,372 Chinese songs, this study investigated the effects of LIWC-based lyric features on the perceived arousal and valence of music. First, correlation analysis shows that, for example, the perceived arousal of music was positively correlated with the total number of lyric words and the mean number of words per sentence and was negatively correlated with the proportio

SUBMITTER: Xu L 

PROVIDER: S-EPMC8627224 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature