A Review of Multimodal Sentiment Analysis for Measuring Visual Information

Author:

孙 睿

Publisher

Hans Publishers

Subject

General Medicine

Reference56 articles.

1. Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing

2. Chauhany, D., Poria, S., Ekbaly, A., et al. (2017) Contextual Inter-Modal Attention for Multi-Modal Sentiment Analysis. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, October-November 2018, 3454-3466.

3. Kim, T. (2020) Multi-Attention Multimodal Sentiment Analysis. ICMR’20 Proceedings of the 2020 International Conference on Multimedia Retrieval, Dublin, 8-11 June 2020, 436-441.

4. 张亚洲, 戎璐, 宋大为, 张鹏. 多模态情感分析研究综述[J]. 模式识别与人工智能, 2020, 33(5): 426-438.

5. Liangy, P.P., Kolteryz, J.Z., Morencyy, L.P., et al. (2019) Multimodal Transformer for Unaligned Multimodal Language Sequences. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, 28 July-2 August 2019, 6558-6569.

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