The results demonstrate that our proposed HiGRU models achieve at least 8.7%, 7.5%, 6.0% improvement over state-of-the-art methods on each dataset, respectively.
by utilizing only the textual feature in IEMO-CAP, our proposed HiGRU models gain at least 3.8% improvement over the existing best model, conversational memory network (CMN) with not only the text feature, but also the visual, and audio features.