Multi-attention Recurrent Network for Human Communication Comprehension
Table 2: Sentiment prediction results on ICT-MMMO, YouTube and MOUD test sets. Our model outperforms the previous baselines and the best scores are highlighted in bold.
['[EMPTY]', 'ICT-MMMO Binary', 'ICT-MMMO Binary', 'YouTube Multiclass', 'YouTube Multiclass', 'MOUD Binary', 'MOUD Binary']
We achieve state-of-the-art performance with significant improvement over all the comparison metrics for two English sentiment analysis datasets. To assess the generalization of the MARN to speakers communicating in different languages, we compare with state-of-the-art approaches for sentiment analysis on MOUD, with opinion utterance video clips in Spanish.