Results 41 to 50 of about 2,787,876 (276)
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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Applied Sciences, 2022 Sarcasm often manifests itself in some implicit language and exaggerated expressions. For instance, an elongated word, a sarcastic phrase, or a change of tone. Most research on sarcasm detection has recently been based on text and image information.
Yukuan Sun +3 more
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Sarcasm Over Time and Across Platforms: Does the Way We Express Sarcasm Change?
IEEE Access, 2022 Sarcasm is a sophisticated form of speech used to convey a message other than the apparent one. To date, there are numerous papers that have discussed the idea of automatic sarcasm detection and how it could be used for sentiment analysis improvement ...
Mondher Bouazizi, Tomoaki Ohtsuki
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A Multi-Dimension Question Answering Network for Sarcasm Detection
IEEE Access, 2020 Sarcasm is a form of figurative language where the literal meaning of words cannot hold, and instead the opposite interpretation is intended in a text.
Yufeng Diao +6 more
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Applied Sciences, 2022 Sarcasm detection has received considerable interest in online social media networks due to the dramatic expansion in Internet usage. Sarcasm is a linguistic expression of dislikes or negative emotions by using overstated language constructs.
Dalia H. Elkamchouchi +7 more
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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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Research on Sarcastic Emotion Recognition Based on Multiple Feature Fusion [PDF]
ITM Web of ConferencesSarcasm detection significantly enhances the performance of various natural language processing applications, such as sentiment analysis, opinion mining, and stance detection.
Si Kaihao
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Jointly Learning Sentimental Clues and Context Incongruity for Sarcasm Detection
IEEE Access, 2022 Sarcasm is widely used in social communities and e-commerce platforms, failing to detect it in natural language processing tasks leads to false positives, e.g., opinion mining and sentiment classification.
Wangqun Chen +4 more
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Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection [PDF]
, 2023 Recently, author-annotated sarcasm datasets, which focus on intended, rather than perceived sarcasm, have been introduced. Although datasets collected using first-party annotation have important benefits, there is no comparison of human and machine ...
Oprea, Silviu Vlad +3 more
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Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 Recently, author-annotated sarcasm datasets, which focus on intended, rather than perceived sarcasm, have been introduced. Although datasets collected using first-party annotation have important benefits, there is no comparison of human and machine performance on these new datasets.
Ibrahim Abu Farha +3 more
openaire +3 more sources