One-step DCCA fusing BERT text with audio and video embeddings outperforms prior multi-modal methods for sentiment classification on two benchmarks and a new Debate Emotion dataset.
This section also outlines the procedure used to o btain the multi-modal embeddings used for experiments in Section 4
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Multi-modal Sentiment Analysis using Deep Canonical Correlation Analysis
One-step DCCA fusing BERT text with audio and video embeddings outperforms prior multi-modal methods for sentiment classification on two benchmarks and a new Debate Emotion dataset.