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What is Enhancing MSA with Graph Capsule Networks about?

This document discusses a novel approach to multimodal sentiment analysis (MSA) that utilizes graph-based methods to model intra-modal and cross-modal interactions. The proposed method, which incorporates capsule networks for high-level semantic node construction and learnable adjacency matrices for edge construction, aims to address limitations in existing models like HGraph-CL. Experimental results demonstrate the effectiveness of the hybrid unimodal-multimodal graph methods in improving sentiment predict

Author

venomroy9363

Language

EN