Sentiment analysis of online responses in the performing arts with large language models.
Journal
Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
06
08
2023
revised:
11
11
2023
accepted:
13
11
2023
medline:
11
12
2023
pubmed:
11
12
2023
entrez:
11
12
2023
Statut:
epublish
Résumé
Opinion mining is a technique extracting and analyzing people's opinions from online communities, and sentiment analysis is a kind of opinion mining analyzing attitudes of people toward an object, whether positive, negative, or neutral. Sentiment analysis has evolved alongside natural language processing models and applied to targets such as movie reviews. However, the performing arts have not been subjected to sentiment analysis as movie reviews, despite the apparent need for it. In this study, we used the Korean Funnel Transformer
Identifiants
pubmed: 38076147
doi: 10.1016/j.heliyon.2023.e22457
pii: S2405-8440(23)09665-2
pmc: PMC10709041
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e22457Informations de copyright
© 2023 The Authors.
Déclaration de conflit d'intérêts
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Kyungwoo Song reports financial support was provided by 10.13039/501100003725National Research Foundation of Korea, South Korea. Kyungwoo Song reports financial support was provided by 10.13039/501100003569Ministry of Food and Drug Safety, South Korea. Kyungwoo Song reports financial support was provided by 10.13039/501100002573Yonsei University, Soth Korea.
Références
Neural Comput. 1997 Nov 15;9(8):1735-80
pubmed: 9377276