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Cooperative Sentiment Agents for Multimodal Sentiment Analysis
April 22, 2024, 4:45 a.m. | Shanmin Wang, Hui Shuai, Qingshan Liu, Fei Wang
cs.CV updates on arXiv.org arxiv.org
Abstract: In this paper, we propose a new Multimodal Representation Learning (MRL) method for Multimodal Sentiment Analysis (MSA), which facilitates the adaptive interaction between modalities through Cooperative Sentiment Agents, named Co-SA. Co-SA comprises two critical components: the Sentiment Agents Establishment (SAE) phase and the Sentiment Agents Cooperation (SAC) phase. During the SAE phase, each sentiment agent deals with an unimodal signal and highlights explicit dynamic sentiment variations within the modality via the Modality-Sentiment Disentanglement (MSD) and …
agents analysis arxiv cs.cl cs.cv multimodal sentiment sentiment analysis type
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