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Quantum-inspired Multimodal Fusion for Video Sentiment Analysis
[article]
2021
arXiv
pre-print
We tackle the crucial challenge of fusing different modalities of features for multimodal sentiment analysis. Mainly based on neural networks, existing approaches largely model multimodal interactions in an implicit and hard-to-understand manner. We address this limitation with inspirations from quantum theory, which contains principled methods for modeling complicated interactions and correlations. In our quantum-inspired framework, the word interaction within a single modality and the
arXiv:2103.10572v2
fatcat:hldyp5i35jhwrdtc7gvneb353m