LyricFind Corpus

doi:10.25540/3QJJ-31J=

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書目詳細資料
Main Authors: Ellis, R.J., Xing, Z., Fang, J., Wang Ye
其他作者: DEPARTMENT OF COMPUTER SCIENCE
格式: Dataset
出版: 2017
主題:
LNS
在線閱讀:http://scholarbank.nus.edu.sg/handle/10635/137501
https://doi.org/10.25540/3QJJ-31J=
http://www.smcnus.org/wp-content/uploads/2015/08/LNS_ISMIR2015_116.pdf
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spelling sg-nus-scholar.10635-1375012024-04-17T08:53:32Z LyricFind Corpus Ellis, R.J. Xing, Z. Fang, J. Wang Ye DEPARTMENT OF COMPUTER SCIENCE LNS Lexical novelty score MOOD Lyric Artist Genre Song doi:10.25540/3QJJ-31J= 2017-11-17T01:14:15Z 2017-11-17 2017-11-17 Dataset Ellis, R.J., Xing, Z., Fang, J., Wang Ye (2017-11-17). LyricFind Corpus. ScholarBank@NUS Repository. [Dataset]. <a href="https://doi.org/10.25540/3QJJ-31J=" target="_blank">https://doi.org/10.25540/3QJJ-31J=</a> Ellis, R.J., Xing, Z., Fang, J., & Wang, Y. (2015). Quantifying lexical novelty in song lyrics. Proceedings of the 15th International Conference on Music Information Retrieval. http://scholarbank.nus.edu.sg/handle/10635/137501 https://doi.org/10.25540/3QJJ-31J= http://www.smcnus.org/wp-content/uploads/2015/08/LNS_ISMIR2015_116.pdf
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic LNS
Lexical novelty score
MOOD
Lyric
Artist
Genre
Song
spellingShingle LNS
Lexical novelty score
MOOD
Lyric
Artist
Genre
Song
Ellis, R.J.
Xing, Z.
Fang, J.
Wang Ye
LyricFind Corpus
description doi:10.25540/3QJJ-31J=
author2 DEPARTMENT OF COMPUTER SCIENCE
author_facet DEPARTMENT OF COMPUTER SCIENCE
Ellis, R.J.
Xing, Z.
Fang, J.
Wang Ye
format Dataset
author Ellis, R.J.
Xing, Z.
Fang, J.
Wang Ye
author_sort Ellis, R.J.
title LyricFind Corpus
title_short LyricFind Corpus
title_full LyricFind Corpus
title_fullStr LyricFind Corpus
title_full_unstemmed LyricFind Corpus
title_sort lyricfind corpus
publishDate 2017
url http://scholarbank.nus.edu.sg/handle/10635/137501
https://doi.org/10.25540/3QJJ-31J=
http://www.smcnus.org/wp-content/uploads/2015/08/LNS_ISMIR2015_116.pdf
_version_ 1800913158697648128