USA Model: Japanese Universal Sentiment Analysis Model & Construction of Japanese Sentiment Text Classification and Part of Speech Dataset

Chengguang Gan, Qinghao Zhang, Tatsunori Mori


Anthology ID:
2025.paclic-1.46
Volume:
Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2025
Address:
Hanoi, Vietnam
Editors:
Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Nguyen T.M. Huyen, Le Thanh Huong, Pham Hien, Emmanuele Chersoni, Le Minh Nguyen, Rachel Edita Oñate Roxas, Sherly Dita
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
500–510
Language:
URL:
https://aclanthology.org/2025.paclic-1.46/
DOI:
Bibkey:
Cite (ACL):
Chengguang Gan, Qinghao Zhang, and Tatsunori Mori. 2025. USA Model: Japanese Universal Sentiment Analysis Model & Construction of Japanese Sentiment Text Classification and Part of Speech Dataset. In Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, pages 500–510, Hanoi, Vietnam. Association for Computational Linguistics.
Cite (Informal):
USA Model: Japanese Universal Sentiment Analysis Model & Construction of Japanese Sentiment Text Classification and Part of Speech Dataset (Gan et al., PACLIC 2025)
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PDF:
https://aclanthology.org/2025.paclic-1.46.pdf