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EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis
Art der Publikation: Artikel in einem Konferenzbericht
Zitat: liu:2024b
Publication status: Published
Buchtitel: Proceedings of KDD 2024
Jahr: 2024
Seiten: 5487 - 5496
URL: https://dl.acm.org/doi/abs/10....
Schlagworte:
Autoren Liu, Z.
Yang, K
Zhang, T.
Xie, Q.
Yu, Z.
Ananiadou, S.
Hinzugefügt von: [PRT]
Gesamtbewertung: 0
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