Classification of Nostalgic Music Through LDA Topic Modeling and Sentiment Analysis of YouTube Comments in Japanese Songs - ACL Anthology

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Classification of Nostalgic Music Through LDA Topic Modeling and Sentiment Analysis of YouTube Comments in Japanese Songs

Kongmeng Liew, Yukiko Uchida, Nao Maeura, Eiji Aramaki

Anthology ID:: 2020.nlp4musa-1.16
Volume:: Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA)
Month:: 16 October
Year:: 2020
Address:: Online
Editors:: Sergio Oramas, Luis Espinosa-Anke, Elena Epure, Rosie Jones, Mohamed Sordo, Massimo Quadrana, Kento Watanabe
Venue:: NLP4MusA
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 78–82
Language:
URL:: https://aclanthology.org/2020.nlp4musa-1.16
DOI:
Bibkey:
Cite (ACL):: Kongmeng Liew, Yukiko Uchida, Nao Maeura, and Eiji Aramaki. 2020. Classification of Nostalgic Music Through LDA Topic Modeling and Sentiment Analysis of YouTube Comments in Japanese Songs. In Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), pages 78–82, Online. Association for Computational Linguistics.
Cite (Informal):: Classification of Nostalgic Music Through LDA Topic Modeling and Sentiment Analysis of YouTube Comments in Japanese Songs (Liew et al., NLP4MusA 2020)
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PDF:: https://preview.aclanthology.org/ml4al-ingestion/2020.nlp4musa-1.16.pdf