Results 41 to 50 of about 4,714,839 (322)
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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FiLMing Multimodal Sarcasm Detection with Attention [PDF]
, 2021 Sarcasm detection identifies natural language expressions whose intended meaning is different from what is implied by its surface meaning. It finds applications in many NLP tasks such as opinion mining, sentiment analysis, etc. Today, social media has given rise to an abundant amount of multimodal data where users express their opinions through text ...
Sundesh Gupta +4 more
openaire +2 more sources
Unveiling Sarcastic Intent: Web-Based Detection of Sarcasm In News Headlines
Journal of Computing Research and Innovation, 2023 Detecting sarcasm in news headlines poses a significant challenge due to the intricate nature of language and the subtle nuances of sarcastic expressions. This study uses machine learning techniques to introduce a novel web-based sarcasm detection system
Mohd Nazzim Lahaji +2 more
doaj +1 more source
Sarcasm Detection Using an Ensemble Approach [PDF]
Proceedings of the Second Workshop on Figurative Language Processing, 2020 We present an ensemble approach for the detection of sarcasm in Reddit and Twitter responses in the context of The Second Workshop on Figurative Language Processing held in conjunction with ACL 2020(1). The ensemble is trained on the predicted sarcasm probabilities of four component models and on additional features, such as the sentiment of the ...
Jens Lemmens +4 more
openaire +3 more sources
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 +1 more source
Sarcasm detection of tweets without #sarcasm: data science approach
, 2021 Identifying sarcasm present in the text could be a challenging work. In sarcasm, a negative word can flip the polarity of a positive sentence. Sentences can be classified as sarcastic or non-sarcastic.
Bagate, Rupali Amit, Suguna, R.
core +1 more source
An Emoticon-Based Novel Sarcasm Pattern Detection Strategy to Identify Sarcasm in Microblogging Social Networks [PDF]
, 2023 Online social networks are one of the prime modes of communication used by people to voice their opinions and sentiments, especially after the advancement of digital gadgets and overall technology.
Gandomi, Amir H. +9 more
core +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source