A multi-modal sarcasm detection model based on cue learning [PDF]
Scientific ReportsThe rapid proliferation of internet data, particularly through social media, has amplified the need for effective sentiment analysis, including the complex task of sarcasm detection.
Ming Lu +6 more
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A contextual-based approach for sarcasm detection [PDF]
Scientific ReportsSarcasm 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 ...
Nivin A. Helal +3 more
semanticscholar +5 more sources
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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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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Enhancing sarcasm detection in sentiment analysis for cyberspace safety using advanced deep learning techniques [PDF]
Sci RepSocial media has become an integral part of daily life, with platforms like Twitter serving as popular outlets for users to share information and express grievances.
Raghu Dhumpati +6 more
semanticscholar +2 more sources
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
doaj +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, Prahal Arora
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BanglaSarc3: A benchmark dataset for Bangla sarcasm detection from social media to advance Bangla NLP [PDF]
Data BriefSarcasm is a form of sentiment often used for comedic effect. Its widespread use contributes to frequent misinterpretation of humour-based comments among native Bengali speakers.
Susmoy Biswas +5 more
semanticscholar +2 more sources
A Survey of Multimodal Sarcasm Detection [PDF]
CoRRSarcasm is a rhetorical device that is used to convey the opposite of the literal meaning of an utterance. Sarcasm is widely used on social media and other forms of computer-mediated communication motivating the use of computational models to identify it
Shafkat Farabi +4 more
semanticscholar +4 more sources
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
doaj +2 more sources