Multimodal Learning and Representation

This chapter delves into the concept of multimodal learning and representation, using sentiment analysis as an example and drawing from the IMOECAP dataset. Even though it is beyond the scope of the work, we are also inspired by our previous work titled “multimodal learning and representation” on medical imaging informatics. This dataset is more intricate than the ones we encountered in earlier chapters, providing a valuable opportunity to gain experience with a real-world dataset. This dataset comprises roughly 12 h of recordings featuring 10 actors displaying various emotions. The recordings encompass motion capture, video, and audio data, as well as text transcripts of the dialogues.