Deep learning has emerged as a powerful machine learning technique that learns multiple
layers of representations or features of the data and produces state‐of‐the‐art prediction …

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 …

Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …

The interdisciplinary field of knowledge discovery and data mining emerged from a
necessity of big data requiring new analytical methods beyond the traditional statistical …

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 …

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 …

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 …

Sarcasm is often used to express a negative opinion using positive or intensified positive
words in social media. This intentional ambiguity makes sarcasm detection, an important …

A large community of research has been developed in recent years to analyze social media
and social networks, with the aim of understanding, discovering insights, and exploiting the …