Results 41 to 50 of about 18,525 (328)
SARCASM DETECTION ON TWITTER DATA USING SUPPORT VECTOR MACHINE [PDF]
ICTACT Journal on Soft Computing, 2020 Sarcasm can change the polarity of a sentence and it becomes the opposite. While sentiment analysis on social media has been widely used, but it is still rare to find sentiments and analyze them, considering the detection of sarcasm in it.
Ashima Garg, Neelam Duhan
doaj +1 more source
Charcot’s irony and sarcasm [PDF]
Arquivos de Neuro-Psiquiatria, 2017 ABSTRACT Jean-Martin Charcot is considered the father of modern neurology and was the first neurologist to hold a professorship of international stature devoted to the study of the diseases of the nervous system. His biographers paint an image of an austere presence, reserved manner, shyness, economy of gestures and an impenetrable, impassive face ...
Teive, Hélio A. G. +2 more
openaire +5 more sources
On the Impact of Language Nuances on Sentiment Analysis With Large Language Models: Paraphrasing, Sarcasm, and Emojis [PDF]
IEEE AccessThis research investigates how textual nuances like emojis and sarcasm impact the performance of Large Language Models (LLMs) in sentiment analysis, especially when using social media data.
Naman Bhargava +4 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +3 more sources
Sarcasm Detection For Sentiment Analysis in Indonesian Tweets
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 Twitter is one of the social medias that are widely used at the moment. Tweet conversations can be classified according to their sentiments. The existence of sarcasm contained in a tweet sometimes causes incorrect determination of the tweet’s sentiment ...
Yessi Yunitasari +2 more
doaj +1 more source
Reasoning with Sarcasm by Reading In-Between [PDF]
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018 Sarcasm is a sophisticated speech act which commonly manifests on social communities such as Twitter and Reddit. The prevalence of sarcasm on the social web is highly disruptive to opinion mining systems due to not only its tendency of polarity flipping but also usage of figurative language.
Yi Tay +3 more
openaire +3 more sources
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
doaj +1 more source
Sarcasm detection on Twitter [PDF]
, 2016 State-of-the-art approaches for sarcasm detection in social media combine lexical clues with contextual information surrounding the potentially sarcastic posting including author information.
Lyu, Hao
core +3 more sources
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
doaj +2 more sources