MuSe: The Musical Sentiment Dataset
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 metad...
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doaj-b957d00a7bbb490398bbcb404feb54b62021-08-11T08:05:51ZengUbiquity PressJournal of Open Humanities Data2059-481X2021-07-01710.5334/johd.3329MuSe: The Musical Sentiment DatasetChristopher Akiki0Manuel Burghardt1Text Mining and Retrieval Group, Leipzig UniversityComputational Humanities Group, Leipzig UniversityThe 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.https://openhumanitiesdata.metajnl.com/articles/33music information retrievalmusic emotion recognitionmusic sentimentmusic datasetsentiment analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Christopher Akiki Manuel Burghardt |
spellingShingle |
Christopher Akiki Manuel Burghardt MuSe: The Musical Sentiment Dataset Journal of Open Humanities Data music information retrieval music emotion recognition music sentiment music dataset sentiment analysis |
author_facet |
Christopher Akiki Manuel Burghardt |
author_sort |
Christopher Akiki |
title |
MuSe: The Musical Sentiment Dataset |
title_short |
MuSe: The Musical Sentiment Dataset |
title_full |
MuSe: The Musical Sentiment Dataset |
title_fullStr |
MuSe: The Musical Sentiment Dataset |
title_full_unstemmed |
MuSe: The Musical Sentiment Dataset |
title_sort |
muse: the musical sentiment dataset |
publisher |
Ubiquity Press |
series |
Journal of Open Humanities Data |
issn |
2059-481X |
publishDate |
2021-07-01 |
description |
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. |
topic |
music information retrieval music emotion recognition music sentiment music dataset sentiment analysis |
url |
https://openhumanitiesdata.metajnl.com/articles/33 |
work_keys_str_mv |
AT christopherakiki musethemusicalsentimentdataset AT manuelburghardt musethemusicalsentimentdataset |
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1721211530280697856 |