MuSe: The Musical Sentiment Dataset

Christopher Akiki; Manuel Burghardt

doi:10.5334/johd.33

Abstract

The MuSe (Music Sentiment) dataset contains sentiment information for 90,001 songs. We computed scores for the affective dimensions of valence, dominance, and arousal, based on the user-generated tags that are available for each song via Last.fm. In addition, we provide artist, title and genre metadata, and a MusicBrainz ID and a
Spotify ID, which allow researchers to extend the dataset with further metadata.

References

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MuSe: The Musical Sentiment Dataset

Abstract

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