Tensor Fusion Network for Multimodal Sentiment Analysis
Table 1: Comparison with state-of-the-art approaches for multimodal sentiment analysis. TFN outperforms both neural and non-neural approaches as shown by ΔSOTA.
['10cmMultimodal Baseline', 'Binary Acc(%)', 'Binary F1', '5-class Acc(%)', 'Regression MAE', 'Regression  [ITALIC] r']
TFN outperforms previously proposed neural and non-neural approaches. This difference is specifically visible in the case of 5-class classification.