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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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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.
Cornelia Caragea
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Detecting Sarcasm in Multiple Modalities by Leveraging Sarcasm Type Correlations
IEEE AccessSarcasm detection is essential for accurately interpreting communication in applications such as dialogue systems. However, most existing approaches treat sarcasm as a single phenomenon and ignore the linguistic distinction between illocutionary ...
Jeremy Chang +2 more
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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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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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Proces. del Leng. Natural, 2021 El sarcasmo se usa con frecuencia para realizar crítica o burla indirecta, a veces hiriendo los sentimientos de alguien. Algunas veces, las personas tienen dificultades para reconocer los comentarios sarcásticos, ya que decimos lo contrario de lo que realmente queremos decir.
Scola, Elsa, Segura-Bedmar, Isabel
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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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Deep Learning for Sarcasm Identification in News Headlines
Applied Sciences, 2023 Sarcasm is a mode of expression whereby individuals communicate their positive or negative sentiments through words contrary to their intent. This communication style is prevalent in news headlines and social media platforms, making it increasingly ...
Rasikh Ali +6 more
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