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HMTL: Heterogeneous Modality Transfer Learning for Audio-visual Sentiment Analysis
2020
IEEE Access
Multimodal sentiment analysis is an extended approach to traditional language-based sentiment analysis, which uses other relevant modality data. Multimodal sentiment analysis usually applies visual, textual, and acoustic representations for sentiment prediction. Recently, various data fusion methodologies have been proposed for multimodal sentiment analysis. In most cases, textual modality plays a major role, and visual and acoustic modalities are used as auxiliary sources for multimodal
doi:10.1109/access.2020.3006563
fatcat:qs2ld6ly3nhppmejwlbhy36guu