Compared to traditional sentiment analysis, which only considers text, multimodal sentiment
analysis needs to consider emotional signals from multimodal sources simultaneously and …

Sarcasm is a form of communication often used to express contempt or ridicule, where the
speaker conveys a message opposite to their true meaning, typically intending to mock or …

Sarcasm indicates the literal meaning is contrary to the real attitude. Considering the
popularity and complementarity of image-text data, we investigate the task of multi-modal …

Sarcasm, sentiment and emotion are tightly coupled with each other in that one helps the
understanding of another, which makes the joint recognition of sarcasm, sentiment and …

Sarcasm is a linguistic phenomenon indicating a discrepancy between literal meanings and
implied intentions. Due to its sophisticated nature, it is usually challenging to be detected …

Sarcasm is a form of sentiment expression that highlights the disparity between a person's
true intentions and the content they explicitly present. With the exponential increase in …

Sarcasm is a sophisticated linguistic phenomenon that is prevalent on today's social media
platforms. Multi-modal sarcasm detection aims to identify whether a given sample with multi …

Interactive fusion methods have been successfully applied to multimodal sentiment analysis,
due to their ability to achieve data complementarity via interaction of different modalities …

Unveiling consumer preferences in online reviews is receiving increasing attention. While
most existing approaches for consumer preferences have achieved significant …

Multimodal learning mines and analyzes multimodal data in reality to better understand and
appreciate the world around people. However, how to exploit this rich multimodal data …