Results 241 to 250 of about 2,787,876 (276)

Detecting Sarcasm in Text

2019
Sarcasm is a nuanced form of speech extensively employed in various online platforms such as social networks, micro-blogs etc. and sarcasm detection refers to predicting whether the text is sarcastic or not. Detecting sarcasm in text is among the major issues facing sentiment analysis.
Sakshi Thakur, Sarbjeet Singh, Makhan Singh   +2 more
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Adversarial Training for Sarcasm Detection

2018
Adversarial training has shown expressive performance in image classification task. However, there are few applications in natural language processing domain. In this paper, we propose to apply adversarial training strategy to sarcasm detection with small labeled samples.
Qinglin Zhang, Gangbao Chen, Di Chen
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Exploiting Emojis for Sarcasm Detection

2019
Modern social media platforms largely rely on text. However, the written text lacks the emotional cues of spoken and face-to-face dialogue, ambiguities are common, which is exacerbated in the short, informal nature of many social media posts. Sarcasm represents the nuanced form of language that individuals state the opposite of what is implied. Sarcasm
Jayashree Subramanian, Varun Sridharan, Kai Shu, Huan Liu 0001   +3 more
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Sarcasm detection on Facebook

Proceedings of the 20th International Conference on Multimodal Interaction: Adjunct, 2018
Sarcasm is a common feature of user interaction on social networking sites. Sarcasm differs with typical communication in alignment of literal meaning with intended meaning. Humans can recognize sarcasm from sufficient context information including from the various contents available on SNS.
Dipto Das, Anthony J. Clark
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Sarcasm Annotation and Detection in Tweets

2018
Identifying sarcasm in text is a challenging task which can be difficult also for humans, in particular in very short texts with little explicit context, such as tweets (Twitter messages). The paper presents a comparison of three sets of tweets marked for sarcasm, two annotated manually and one annotated using the common strategy of relying on the ...
Johan G. Cyrus M. Ræder, Björn Gambäck   +1 more
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Sarcasm Detection on Twitter

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015
Sarcasm is a nuanced form of language in which individuals state the opposite of what is implied. With this intentional ambiguity, sarcasm detection has always been a challenging task, even for humans. Current approaches to automatic sarcasm detection rely primarily on lexical and linguistic cues.
Ashwin Rajadesingan, Reza Zafarani, Huan Liu 0001   +2 more
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Sarcasm Detection

Sarcasm is a procedure of verbal irony that is planned to convey ridicule, contempt, or mockery. Because sarcasm can change a statement's meaning, the viewpoint analysis procedure is susceptible to mistakes. Sarcastic remarks simply have reduced the effectiveness of sentiment estimation, according to the prior study.
Himani Pokhriyal, Goonjan Jain
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Sarcasm-GPT: advancing sarcasm detection with large language models

The Computer Journal
Abstract Sarcasm detection is a nuanced challenge in natural language processing, requiring deep understanding of textual and contextual cues. We present Sarcasm-GPT, a large language model-based model that integrates four key components: prompt template generation, retrieval-augmented generation, chain-of-thought generation, and a ...
Qiuyu Li, Zuhe Li, Weihua Liu, Xiaojiang He, Yushan Pan   +4 more
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Leveraging Transitions of Emotions for Sarcasm Detection

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
One popular thread of research in computational sarcasm detection involves modeling sarcasm as a contrast between positive and negative sentiment polarities or exploring more fine-grained categories of emotions such as happiness, sadness, surprise, and so on. Most current models, however, treat these affective features independently, without regard for
Ameeta Agrawal, Aijun An, Manos Papagelis   +2 more
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Sarcasm Detection on Flickr Using a CNN

Proceedings of the 2018 International Conference on Computing and Big Data, 2018
Sarcasm is an important aspect of human communication. However, it is often difficult to detect or understand this sentiment because the literal meaning conveyed in communication is opposite of the intended meaning. Though the field of sentiment analysis is well studied, sarcasm has often been ignored by the research community.
Dipto Das, Anthony J. Clark
openaire   +2 more sources