Multi-attention Recurrent Network for Human Communication Comprehension
Table 1: Sentiment prediction results on CMU-MOSI test set using multimodal methods. Our model outperforms the previous baselines and the best scores are highlighted in bold.
['[EMPTY]', 'Binary', 'Binary', 'Multiclass', 'Regression', 'Regression']
We are able to achieve new state-of-the-art results for this dataset in all the metrics using the MARN. This highlights our model’s capability in understanding sentiment aspect of multimodal communication.