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 …

Memes have become the popular means of communication for Internet users worldwide.
Understanding the Internet meme is one of the most tricky challenges in natural language …

Multimodal sarcasm detection aims to identify whether the literal expression is contrary to
the authentic attitude within multimodal data. Sarcasm incongruity method has been …

Identifying sarcastic clues from both textual and visual information has become an important
research issue, called Multimodal Sarcasm Detection. In this article, we investigate …

The Internet has become a crucial space for customer feedback and the budding of various
ideologies across different cultures. But some people provide their opinions whose sole …

Recently, progress has been made towards improving automatic sarcasm detection in
computer science. Among existing models, manually constructing static graphs for texts and …

Sarcasm prevalent in social media poses challenges for sentiment analysis applications by
flip** polarity, thus increasing the demand for sarcasm detection. In this article, we present …

This paper provides a review of classification methods for irony and sarcasm in textual data.
It explores different approaches to detecting irony and sarcasm, their definitions …

In this paper, we study multimodal metaphor detection to obtain real semantic meaning from
multiple heterogeneous information sources. The existing approaches mainly suffer from two …

Sarcasm is widely utilized on social media platforms such as Twitter and Reddit. Sarcasm
detection is required for analyzing people's true feelings since sarcasm is commonly used to …