CMU MOSI
Related Papers
Multimodal Sentiment Analysis with Multi-perspective Fusion Network Focusing on Sense Attentive Language
AbstractMultimodal sentiment analysis aims to learn a joint representation of multiple features. As demonstrated by previous studies, it is shown that the language modality may contain more semantic information than …...
Improving Multimodal fusion via Mutual Dependency Maximisation
AbstractMultimodal sentiment analysis is a trending area of research, and multimodal fusion is one of its most active topic. Acknowledging humans communicate through a variety of channels (i.e visual, acoustic, …...
Stronger Baseline for Robust Results in Multimodal Sentiment Analysis
Significant progress in sentiment analysis and emotion recognition has been made recently, and there has also been an increase in the re- quirements for solving real-world problems. However, human language …...
Mitigating Inconsistencies in Multimodal Sentiment Analysis under Uncertain Missing Modalities
AbstractFor the missing modality problem in Multimodal Sentiment Analysis (MSA), the inconsistency phenomenon occurs when the sentiment changes due to the absence of a modality. The absent modality that determines …...