An emoji centric approach to sarcasm detection in online discourse. [PDF]
Sci RepSarcasm 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.
Grover V, Banati H.
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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]
Sci RepSarcasm 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.
Majdoubi J +7 more
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A multi-modal sarcasm detection model based on cue learning. [PDF]
Sci RepThe rapid proliferation of internet data, particularly through social media, has amplified the need for effective sentiment analysis, including the complex task of sarcasm detection.
Lu M +6 more
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Graph convolutional network with reinforced dependency graph and denoising mechanism for sarcasm detection. [PDF]
Sci RepThe widespread presence of sarcasm in social media presents significant challenges to sentiment analysis and public opinion monitoring, making accurate sarcasm detection particularly important.
Yan P, An T, Yu J, An J, Tong D, Wang J.
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Enhancing sarcasm detection on social media: A comprehensive study using LLMs and BERT with multi-headed attention on SARC. [PDF]
PLoS OneSarcasm detection in natural language processing (NLP) remains a complex challenge, especially in social media, where contextual clues are often subtle.
Zhang L +4 more
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A contextual-based approach for sarcasm detection. [PDF]
Sci RepSarcasm is a perplexing form of human expression that presents distinct challenges in understanding. The problem of sarcasm detection has centered around analyzing individual utterances in isolation which may not provide a comprehensive understanding of ...
Helal NA, Hassan A, Badr NL, Afify YM.
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An automated approach to identify sarcasm in low-resource language. [PDF]
PLoS OneSarcasm detection has emerged due to its applicability in natural language processing (NLP) but lacks substantial exploration in low-resource languages like Urdu, Arabic, Pashto, and Roman-Urdu. While fewer studies identifying sarcasm have focused on low-
Khan S +6 more
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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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Sentiment Analysis With Sarcasm Detection On Politician’s Instagram
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 Sarcasm is one of the problem that affect the result of sentiment analysis. According to Maynard and Greenwood (2014), performance of sentiment analysis can be improved when sarcasm also identified. Some research used Naïve Bayes and Random Forest method
Aisyah Muhaddisi +2 more
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Sarcasm detection method based on fusion of text semantics and social behavior information
网络与信息安全学报, 2023 Sarcasm is a complex implicit emotion that poses a significant challenge in sentiment analysis, particularly in social network sentiment analysis.Effective sarcasm detection holds immense practical significance in the analysis of network public opinion ...
Zhaoyang FU, Zhikai CHEN, Li PAN
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