Multimodal sentiment analysis based on cross-instance graph neural networks
Author:
Funder
the Nation Natural Science Foundation of China
Natural Science Foundation of Yunnan Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05309-0.pdf
Reference39 articles.
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2. Lin F, Liu S, Zhang C, Fan J, Wu Z (2023) Stylebert: Text-audio sentiment analysis with bi-directional style enhancement. Inf Syst 114:102147
3. Zeng D, Chen X, Song Z, Xue Y, Cai Q (2023) Multimodal interaction and fused graph convolution network for sentiment classification of online reviews. Mathematics 11(10)
4. Yu J, Chen K, Xia R (2023) Hierarchical interactive multimodal transformer for aspect-based multimodal sentiment analysis. IEEE Trans Affect Comput 14(3):1966–1978
5. Xiao L, Wu X, Yang S, Xu J, Zhou J, He L (2023) Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis. Inf Process Manag 60(6):103508
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