A cross modal hierarchical fusion multimodal sentiment analysis method based on multi-task learning
Author:
Funder
Science and Technology Commission of Shanghai Municipality
Publisher
Elsevier BV
Reference47 articles.
1. Akhtar, M. S., Chauhan, D. S., Ghosal, D., Poria, S., Ekbal, A., & Bhattacharyya, P. (2019). Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. In Proceedings of the 2019 conference of the north American chapter of the association for computational linguistics: human language technologies (pp. 370–379).
2. Baltrušaitis, T., Robinson, P., & Morency, L. P. (2016). OpenFace: an open source facial behavior analysis toolkit. In 2016 IEEE winter conference on applications of computer vision (pp. 1–10).
3. Brady, K., Gwon, Y., Khorrami, P., Godoy, E., Campbell, W., Dagli, C., & Huang, T. S. (2016). Multi-modal audio, video and physiological sensor learning for continuous emotion prediction. In Proceedings of the 6th international workshop on audio/visual emotion challenge (pp. 97–104).
4. A region group adaptive attention model for subtle expression recognition;Chen;IEEE Transactions on Affective Computing,2023
5. Joint multimodal sentiment analysis based on information relevance;Chen;Information Processing & Management,2023
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