Recognizing both literal and figurative meanings is crucial to understanding users' opinions
on various topics or events in social media. Detecting the sarcastic posts on social media …

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 …

With the increasing popularity of posting multimodal messages online, many recent studies
have been carried out utilizing both textual and visual information for multi-modal sarcasm …

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 …

Sentiment analysis as a field has come a long way since it was first introduced as a task
nearly 20 years ago. It has widespread commercial applications in various domains like …

Sarcasm is a subtle form of language in which people express the opposite of what is
implied. Previous works of sarcasm detection focused on texts. However, more and more …

Figurative language (FL) seems ubiquitous in all social media discussion forums and chats,
posing extra challenges to sentiment analysis endeavors. Identification of FL schemas 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 …

In the last decade, the need to detect automatically irony to correctly recognize the sentiment
and hate speech involved in online texts increased the investigation on humorous figures of …