QuMIN: quantum multi-modal data fusion for humor detection
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19790-9.pdf
Reference50 articles.
1. Kumar A, Garg G (2019) Sentiment analysis of multimodal twitter data. Multimed Tools Appl 78:24103–24119
2. Ghosal D, Akhtar MS, Chauhan D, Poria S, Ekbal A, Bhattacharyya P (2018) Contextual inter-modal attention for multi-modal sentiment analysis. In: Proceedings of the 2018 conference on empirical methods in natural language processing, pp 3454–3466
3. Jia N, Zheng C, Sun W (2022) A multimodal emotion recognition model integrating speech, video and mocap. Multimed Tools Appl 81(22):32265–32286
4. Paraskevopoulos G, Georgiou E, Potamianos A (2022) Mmlatch: bottom-up top-down fusion for multimodal sentiment analysis. In: ICASSP 2022-2022 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp 4573–4577.IEEE
5. Poria S, Chaturvedi I, Cambria E, Hussain A (2016) Convolutional mkl based multimodal emotion recognition and sentiment analysis. In: 2016 IEEE 16th International Conference on Data Mining (ICDM), pp 439–448. IEEE
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