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Hao Liu, Bo Yang and Zhiwen Yu
Multimodal sarcasm detection is a developing research field in social Internet of Things, which is the foundation of artificial intelligence and human psychology research. Sarcastic comments issued on social media often imply people?s real attitudes towa...
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Guowei Li, Fuqiang Lin, Wangqun Chen and Bo Liu
Sarcasm detection remains a challenge for numerous Natural Language Processing (NLP) tasks, such as sentiment classification or stance prediction. Existing sarcasm detection studies attempt to capture the subtle semantic incongruity patterns by using con...
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Yukuan Sun, Hangming Zhang, Shengjiao Yang and Jianming Wang
Sarcasm often manifests itself in some implicit language and exaggerated expressions. For instance, an elongated word, a sarcastic phrase, or a change of tone. Most research on sarcasm detection has recently been based on text and image information. In t...
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Alexandru-Costin Baroiu and ?tefan Trau?an-Matu
Sarcasm is an integral part of human language and culture. Naturally, it has garnered great interest from researchers from varied fields of study, including Artificial Intelligence, especially Natural Language Processing. Automatic sarcasm detection has ...
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Wafa Hussain Hantom and Atta Rahman
Nowadays, one of the most common problems faced by Twitter (also known as X) users, including individuals as well as organizations, is dealing with spam tweets. The problem continues to proliferate due to the increasing popularity and number of users of ...
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Debby Alita,Sigit Priyanta,Nur Rokhman
Pág. 100 - 109
Background: Indonesia is an active Twitter user that is the largest ranked in the world. Tweets written by Twitter users vary, from tweets containing positive to negative responses. This agreement will be utilized by the parties concerned for evaluation....
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