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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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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
exaly +3 more sources
IdSarcasm: Benchmarking and Evaluating Language Models for Indonesian Sarcasm Detection
IEEE AccessSarcasm detection in the Indonesian language poses a unique set of challenges due to the linguistic nuances and cultural specificities of the Indonesian social media landscape.
Derwin Suhartono +2 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
doaj +1 more source
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
openaire +4 more sources
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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Positive Feedback Loops: Sarcasm and the Pseudo-Argument in Reddit Communities
Studies in Applied Linguistics & TESOL, 2016 When it comes to modes of communication, sarcasm may be most commonly associated with the angst-ridden adolescent or rebellious teenager. While the use of sarcasm is certainly not exclusive to these communities, such a comparison may not be entirely ...
Christopher Mueller
doaj +3 more sources
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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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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MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Multi-modal sarcasm detection has attracted much recent attention. Nevertheless, the existing benchmark (MMSD) has some shortcomings that hinder the development of reliable multi-modal sarcasm detection system: (1) There are some spurious cues in MMSD ...
Libo Qin +7 more
semanticscholar +1 more source