Results 11 to 20 of about 13,126 (249)
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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Affective Dependency Graph for Sarcasm Detection [PDF]
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Detecting sarcastic expressions could promote the understanding of natural language in social media. In this paper, we revisit sarcasm detection from a novel perspective, so as to account for the longrange literal sentiment inconsistencies. More concretely, we explore a novel scenario of constructing an affective graph and a dependency graph for each ...
Lou, Chenwei +5 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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Procesamiento del Lenguaje 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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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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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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Automatic Sarcasm Detection [PDF]
ACM Computing Surveys, 2017 Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing text. Beginning with an approach that used speech-based features, automatic sarcasm detection has witnessed great interest from the sentiment analysis community.
Joshi A., Bhattacharyya P., Carman M. J.
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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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Heliyon, 2023 Sarcasm detection research in Bengali is still limited due to a lack of relevant resources. In this context, getting high-quality annotated data is costly and time-consuming. Therefore, in this paper, we present a transformer-based generative adversarial
Sanzana Karim Lora +4 more
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