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Speech Communication, 2008
The present study was conducted to identify possible acoustic cues of sarcasm. Native English speakers produced a variety of simple utterances to convey four different attitudes: sarcasm, humour, sincerity, and neutrality. Following validation by a separate naive group of native English speakers, the recorded speech was subjected to acoustic analyses ...
Henry S Cheang, Marc D Pell
exaly +2 more sources
The present study was conducted to identify possible acoustic cues of sarcasm. Native English speakers produced a variety of simple utterances to convey four different attitudes: sarcasm, humour, sincerity, and neutrality. Following validation by a separate naive group of native English speakers, the recorded speech was subjected to acoustic analyses ...
Henry S Cheang, Marc D Pell
exaly +2 more sources
Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Sarcasm Suite is a browser-based engine that deploys five of our past papers in sarcasm detection and generation. The sarcasm detection modules use four kinds of incongruity: sentiment incongruity, semantic incongruity, historical context incongruity and conversational context incongruity. The sarcasm generation module is a chatbot that
Aditya Joshi 0001 +3 more
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Perceptual and Motor Skills, 2001 This study examined facial expression in the presentation of sarcasm. 60 responses (sarcastic responses = 30, nonsarcastic responses = 30) from 40 different speakers were coded by two trained coders. Expressions in three facial areas—eyebrow, eyes, and mouth—were evaluated. Only movement in the mouth area significantly differentiated ratings of sarcasm
Patricia Rockwell
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The paradox of sarcasm: Theory of mind and sarcasm use in adults
Personality and Individual Differences, 2020Abstract While there is evidence suggesting that sarcasm comprehension is positively associated with the theory of mind (ToM), it remains unclear whether ToM ability predicts sarcasm use in any way. A random sample of 171 undergraduate students participated in an open-ended ToM measure, namely the social faux pas stories, and a purpose-designed ...
Zhenlin Wang
exaly +2 more sources
Sarcasm detection using news headlines dataset
AI Open, 2023 Sarcasm has been an elusive concept for humans. Due to interesting linguistic properties, sarcasm detection has gained traction of the Natural Language Processing (NLP) research community in the past few years.
Rishabh Misra
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Regional Variation in the Use of Sarcasm
Journal of Language and Social Psychology, 2008 College students in New York and Tennessee participated in tasks designed to measure their use of sarcasm. They also provided definitions for the terms irony and sarcasm and completed part of a Sarcasm Self-Report Scale.
Caucci, Gina M. +3 more
exaly +2 more sources
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 +2 more
openaire +1 more source
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 +2 more
openaire +1 more source
Sarcasm-GPT: advancing sarcasm detection with large language models
The Computer JournalAbstract 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 +4 more
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KnowleNet: Knowledge fusion network for multimodal sarcasm detection
Information Fusion, 2023Tan Yue, Rui Mao, Zonghai Hu
exaly