CMDAF: Cross-Modality Dual-Attention Fusion Network for Multimodal Sentiment Analysis

CMDAF: Cross-Modality Dual-Attention Fusion Network for Multimodal Sentiment Analysis

Multimodal sentiment analysis (MSA) seeks to predict subjective human sentiments by utilizing information from multiple modalities. It has been applied in diverse scenarios. Recent studies suggest that MSA benefits from integrating diverse modalities, emphasizing the fusion of multimodal information...

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Bibliographic Details
Main Authors: Wang Guo, Kun Su, Bin Jiang, Kang Xie, Jie Liu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
multimodal sentiment analysis
multi loss
dual attention
multimodal fusion
contrastive learning
Online Access:https://www.mdpi.com/2076-3417/14/24/12025
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