Results 21 to 30 of about 13,254 (269)
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 ...
Gupta, Sundesh +4 more
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Heliyon, 2023 Sarcasm detection research in Bengali is still limited due to a lack of relevant resources. In this context, getting high-quality annotated data is costly and time-consuming. Therefore, in this paper, we present a transformer-based generative adversarial
Sanzana Karim Lora +4 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 ...
Lemmens, Jens +4 more
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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
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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
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Sarcasm detection of tweets without #sarcasm: data science approach
Indonesian Journal of Electrical Engineering and Computer Science, 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. It is easier to identify sarcasm using facial expression or tonal weight rather detecting from plain text.
Rupali Amit Bagate, R. Suguna
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SARCASM DETECTION IN ONLINE REVIEW TEXT
ICTACT Journal on Soft Computing, 2018 Sarcasm is a type of sentiment where people express negative sentiment using positive connotation words in text and vice-versa. In this work, we propose a cross-domain sarcasm detection framework that allows acquisition, storage and processing of tweets ...
Srishti Sharma, Shampa Chakraverty
doaj +1 more source
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 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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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
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