Learning Complementary Representations for Targeted Multimodal Sentiment Analysis

Targeted multimodal sentiment classification is frequently impeded by the semantic sparsity of social media content, where text is brief and context is implicit. Traditional methods that rely on direct concatenation of textual and visual features often fail to resolve the ambiguity of specific targe...

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Hlavní autoři:	Binfen Ding, Jieyu An, Yumeng Lei
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-01-01
Edice:	Computers
Témata:	multimodal sentiment classification representation extraction multimodal interaction representation learning fine-grained sentiment
On-line přístup:	https://www.mdpi.com/2073-431X/15/1/52
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Learning Complementary Representations for Targeted Multimodal Sentiment Analysis

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