A Social Media Dataset and H-GNN-Based Contrastive Learning Scheme for Multimodal Sentiment Analysis

A Social Media Dataset and H-GNN-Based Contrastive Learning Scheme for Multimodal Sentiment Analysis

Multimodal sentiment analysis faces a number of challenges, including modality missing, modality heterogeneity gap, incomplete datasets, etc. Previous studies usually adopt schemes like meta-learning or multi-layer structures. Nevertheless, these methods lack interpretability for the interaction bet...

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Bibliographic Details
Main Authors: Jiao Peng, Yue He, Yongjuan Chang, Yanyan Lu, Pengfei Zhang, Zhonghong Ou, Qingzhi Yu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
multimodal sentiment analysis
datasets
contrastive learning
heterogeneous graph neural networks
Online Access:https://www.mdpi.com/2076-3417/15/2/636
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