Cross-modal Hypergraph Optimisation Learning for Multimodal Sentiment Analysis

Sentiment expressions are multimodal,and more accurate emotions can be derived through multiple modalities such as verbal,audio,and visual.Studying the interactions among modalities can effectively improve the accuracy of multimodal sentiment analysis.Previous studies have used graph models to captu...

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Egile nagusia:	JIANG Kun, ZHAO Zhengpeng, PU Yuanyuan, HUANG Jian, GU Jinjing, XU Dan
Formatua:	Artigo
Hizkuntza:	Chinês
Argitaratua:	Editorial office of Computer Science 2025-07-01
Saila:	Jisuanji kexue
Gaiak:	multimodal sentiment analysis|hypergraph neural networks|hypergraph optimisation|adaptive networks|node-edge information fusion
Sarrera elektronikoa:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2025-52-7-210.pdf
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!