Humor Styles Predict Self-Reported Sarcasm Use in Interpersonal Communication [PDF]
Behavioral SciencesWe investigated how participants’ humor styles impact their sarcasm use. English-speaking participants (N = 179) completed online self-report measures of humor styles and sarcasm use.
Liberty McAuley, Melanie Glenwright
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Self-attention bidirectional long Short-Term memory assisted natural language processing on sarcasm detection and classification in social media platforms [PDF]
Scientific ReportsSarcasm is a form of irony that expresses negative opinions. Sarcasm poses a linguistic problem owing to its symbolic nature, where deliberate meaning challenges correct understanding.
Jihen Majdoubi +7 more
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An emoji centric approach to sarcasm detection in online discourse [PDF]
Scientific ReportsSarcasm detection has gained significance in sentiment analysis, especially when social media is rife with cyberbullying and trolling. Emojis have garnered researchers’ interest as they are polysemic.
V. Grover, H. Banati
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Sarcasm Detection with and without #Sarcasm: Data Science Approach
International Journal of Information Science and Management, 2022 Natural languages usually contain context, which is difficult for a machine to understand. Sentiment analysis is a contextual mining technique often used in NLP to identify, understand and extract subjective information in texts, such as people’s ...
Rupali Amit Bagate, R Suguna
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Intermediate-Task Transfer Learning with BERT for Sarcasm Detection
Mathematics, 2022 Sarcasm detection plays an important role in natural language processing as it can impact the performance of many applications, including sentiment analysis, opinion mining, and stance detection.
Edoardo Savini, Cornelia Caragea
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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, Prahal Arora
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ArSa-Tweets: A novel Arabic sarcasm detection system based on deep learning model [PDF]
HeliyonSarcasm in Sentiment Analysis (SA) is important due to the sense of sarcasm in sentences that differs from their literal meaning. Analysis of Arabic sarcasm still has many challenges like implicit indirect idioms to express the opinion, and lack of ...
Qusai Abuein +4 more
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Evaluating Large Language Models’ Ability Using a Psychiatric Screening Tool Based on Metaphor and Sarcasm Scenarios [PDF]
Journal of IntelligenceMetaphors and sarcasm are precious fruits of our highly evolved social communication skills. However, children with the condition then known as Asperger syndrome are known to have difficulties in comprehending sarcasm, even if they possess adequate ...
Hiromu Yakura
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Contextual Sarcasm Detection Model for Social Media Comments [PDF]
Jisuanji gongcheng, 2021 Sarcasm is a common pragmatic phenomenon in daily communication that enriches the views of speakers and indirectly expresses the their deep meaning.The research goal of sarcasm detection task is to mine the sarcasm tendency of target sentences.As the ...
HAN Hu, ZHAO Qitao, SUN Tianyue, LIU Guoli
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The Study of Sarcasm in Political Discourse
آداب الكوفة, 2023 Sarcasm is a complicated linguistic phenomenon especially in written language because changing the tone of speech makes sarcasm more apparent. Sarcasm often refers to a specific, recognizable individual and it implies criticism.
زينب عكاب, مروة وهيل
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