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%0 Conference Proceedings
%T Classification of Nostalgic Music Through LDA Topic Modeling and Sentiment Analysis of YouTube Comments in Japanese Songs
%A Liew, Kongmeng
%A Uchida, Yukiko
%A Maeura, Nao
%A Aramaki, Eiji
%Y Oramas, Sergio
%Y Espinosa-Anke, Luis
%Y Epure, Elena
%Y Jones, Rosie
%Y Sordo, Mohamed
%Y Quadrana, Massimo
%Y Watanabe, Kento
%S Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA)
%D 2020
%8 16 oct
%I Association for Computational Linguistics
%C Online
%F liew-etal-2020-classification
%U https://aclanthology.org/2020.nlp4musa-1.16
%P 78-82

Markdown (Informal)

[Classification of Nostalgic Music Through LDA Topic Modeling and Sentiment Analysis of YouTube Comments in Japanese Songs](https://aclanthology.org/2020.nlp4musa-1.16) (Liew et al., NLP4MusA 2020)

• Classification of Nostalgic Music Through LDA Topic Modeling and Sentiment Analysis of YouTube Comments in Japanese Songs (Liew et al., NLP4MusA 2020)

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.