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 …
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 …
Y Cai, H Cai, X Wan - Proceedings of the 57th annual meeting of …, 2019 - aclanthology.org
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 …
C Wen, G Jia, J Yang - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
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 …
RA Potamias, G Siolas, AG Stafylopatis - Neural Computing and …, 2020 - Springer
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 …
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 …
Y Qiao, L Jing, X Song, X Chen, L Zhu… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
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 …
JH Yuan, Y Wu, X Lu, YY Zhao, B Qin, T Liu - Science China Technological …, 2020 - Springer
Sentiment analysis is one of the most popular research areas in natural language processing. It is extremely useful in many applications, such as social media monitoring and …