Balanced sentimental information via multimodal interaction model
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00530-023-01208-5.pdf
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3. Baltrušaiitis, T., Ahuja, C., Morency, L.P.: Multimodal machine learning: a survey and taxonomy. IEEE Trans. Pattern Anal. Mach. Intel. 41(2), 423–443 (2018)
4. Yu, W., Xu, H., Meng, F., et al.: Ch-sims: a Chinese multimodal sentiment analysis dataset with fine-grained annotation of modality. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp 3718–3727 (2020)
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1. Text-centered cross-sample fusion network for multimodal sentiment analysis;Multimedia Systems;2024-07-30
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