Ensemble Classification Approach for Sarcasm Detection. [PDF]
Behav Neurol, 2021 Cognitive science is a technology which focuses on analyzing the human brain using the application of DM. The databases are utilized to gather and store the large volume of data. The authenticated information is extracted using measures. This research work is based on detecting the sarcasm from the text data.
Godara J, Batra I, Aron R, Shabaz M.
europepmc +4 more sources
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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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
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Journal of ICT, 2020 Sarcasm is a form of communication where the individual states the opposite of what is implied. Therefore, detecting a sarcastic tone is somewhat complicated due to its ambiguous nature.
Zahra Bokaee Nezhad, Mohammad Deihimi
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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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Graph convolutional network with reinforced dependency graph and denoising mechanism for sarcasm detection [PDF]
Scientific ReportsThe widespread presence of sarcasm in social media presents significant challenges to sentiment analysis and public opinion monitoring, making accurate sarcasm detection particularly important.
Pingping Yan +5 more
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Sarcasm Detection with and without #Sarcasm: Data Science Approach
International Journal of Information Science and Management, 2022 Natural languages usually contain context, which is difficult for a machine to understand. Sentiment analysis is a contextual mining technique often used in NLP to identify, understand and extract subjective information in texts, such as people’s ...
Rupali Amit Bagate, R Suguna
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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.
Lihong Zhang +4 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
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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-
Shumaila Khan +6 more
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