MuSe: The Musical Sentiment Dataset

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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Bibliographic Details
Main Authors: Christopher Akiki, Manuel Burghardt
Format: Article
Language:English
Published: Ubiquity Press 2021-07-01
Series:Journal of Open Humanities Data
Subjects:
music information retrieval
music emotion recognition
music sentiment
music dataset
sentiment analysis
Online Access:https://openhumanitiesdata.metajnl.com/articles/33
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spelling 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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