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A Comprehensive Survey on Arabic Sarcasm Detection: Approaches, Challenges and Future Trends
IEEE Access, 2023 On social media platforms, it is essential to express one’s thoughts, opinions, and reviews. One of the most widely used linguistic forms to criticize or express a person’s ideas with ridicule is sarcasm, where the written text has both ...
Alaa Rahma +2 more
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Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model [PDF]
PeerJ Computer Science, 2021 Sarcasm emerges as a common phenomenon across social networking sites because people express their negative thoughts, hatred and opinions using positive vocabulary which makes it a challenging task to detect sarcasm.
Ramish Jamil +5 more
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SARCASM DETECTION IN ONLINE REVIEW TEXT
ICTACT Journal on Soft Computing, 2018 Sarcasm is a type of sentiment where people express negative sentiment using positive connotation words in text and vice-versa. In this work, we propose a cross-domain sarcasm detection framework that allows acquisition, storage and processing of tweets ...
Srishti Sharma, Shampa Chakraverty
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Corpus Annotation and Analysis of Sarcasm in Twitter: #CatsMovie vs. #TheRiseOfSkywalker
Atlantis, 2022 Sentiment analysis is a natural language processing task that has received increased attention in the last decade due to the vast amount of opinionated data on social media platforms such as Twitter.
Antonio Moreno-Ortiz +1 more
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Sarcasm detection of tweets without #sarcasm: data science approach
Indonesian Journal of Electrical Engineering and Computer Science, 2021 Identifying sarcasm present in the text could be a challenging work. In sarcasm, a negative word can flip the polarity of a positive sentence. Sentences can be classified as sarcastic or non-sarcastic. It is easier to identify sarcasm using facial expression or tonal weight rather detecting from plain text.
Rupali Amit Bagate, R. Suguna
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Charcot’s irony and sarcasm [PDF]
Arquivos de Neuro-Psiquiatria, 2017 ABSTRACT Jean-Martin Charcot is considered the father of modern neurology and was the first neurologist to hold a professorship of international stature devoted to the study of the diseases of the nervous system. His biographers paint an image of an austere presence, reserved manner, shyness, economy of gestures and an impenetrable, impassive face ...
Teive, Hélio A. G. +2 more
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Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation [PDF]
Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 1: Long Papers), 2017 Sarcasm is a form of speech in which speakers say the opposite of what they truly mean in order to convey a strong sentiment. In other words, "Sarcasm is the giant chasm between what I say, and the person who doesn't get it.". In this paper we present the novel task of sarcasm interpretation, defined as the generation of a non-sarcastic utterance ...
Peled, Lotem, Reichart, Roi
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Sarcasm Detection For Sentiment Analysis in Indonesian Tweets
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 Twitter is one of the social medias that are widely used at the moment. Tweet conversations can be classified according to their sentiments. The existence of sarcasm contained in a tweet sometimes causes incorrect determination of the tweet’s sentiment ...
Yessi Yunitasari +2 more
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Exploring Sarcasm among Netizens on Instagram: A Social Media Phenomenon
Nobel: Journal of Literature and Language TeachingThis paper explores the prevalent use of sarcasm among Indonesian Instagram users, particularly on the @Insertlive account and its link to cyberbullying.
Rini Damayanti, Kaswadi Kaswadi
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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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