Results 281 to 290 of about 18,525 (328)
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2025 IEEE 6th India Council International Subsections Conference (INDISCON)
This paper studies transformer models, especially Bidirectional Encoder Representations from Transformers (BERT), to identify sarcasm in text. Detecting sarcasm is difficult because it depends heavily on understanding the specific context, which makes it
J. Vijaya +4 more
semanticscholar +1 more source
This paper studies transformer models, especially Bidirectional Encoder Representations from Transformers (BERT), to identify sarcasm in text. Detecting sarcasm is difficult because it depends heavily on understanding the specific context, which makes it
J. Vijaya +4 more
semanticscholar +1 more source
Detecting Sarcasm Across Headlines and Text
2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)In this era with the rapid growth in social media usage among the current generation, a huge amount of content and comments, most of them sarcastic, is seen.
Shaik Rafi +5 more
semanticscholar +1 more source
Sememe knowledge and auxiliary information enhanced approach for sarcasm detection
Information Processing and Management, 2022Ruifeng Xu, Lin Gui, Mingyue Guo
exaly
A hybrid transformer based model for sarcasm detection from news headlines
Journal of Intelligence and Information SystemsAmit Khan +2 more
semanticscholar +1 more source
HIAN: A hybrid interactive attention network for multimodal sarcasm detection
Pattern RecognitionYongtang Bao +4 more
semanticscholar +1 more source