Results 21 to 30 of about 18,525 (328)

Detecting sarcasm in user-generated content integrating transformers and gated graph neural networks [PDF]

PeerJ Comput Sci
The widespread use of the Internet and social media has posed significant challenges to automated sentiment analysis, particularly in relation to detecting sarcasm in user-generated content.
Zhenkai Qin, Qining Luo, Zhidong Zang, Hongpeng Fu   +3 more
semanticscholar   +2 more sources

A multi-modal sarcasm detection model based on cue learning [PDF]

Sci Rep
The rapid proliferation of internet data, particularly through social media, has amplified the need for effective sentiment analysis, including the complex task of sarcasm detection.
Ming Lu, Zhi-Qiang Dong, Ziming Guo, Xiaoming Zhang, Xinxi Lu, Tianbo Wang, Li-Tian Zhang   +6 more
semanticscholar   +2 more sources

BanglaSarc3: A benchmark dataset for Bangla sarcasm detection from social media to advance Bangla NLP [PDF]

Data Brief
Sarcasm is a form of sentiment often used for comedic effect. Its widespread use contributes to frequent misinterpretation of humour-based comments among native Bengali speakers.
Susmoy Biswas, M. Zahid, Mst Taposi Rabeya, Min-Ha-Zul Abedin, Md. Hasan Imam Bijoy, M. Rahman   +5 more
semanticscholar   +2 more sources

CCSD:Topic-oriented Sarcasm Detection [PDF]

Jisuanji kexue
With the development of social media,an increasing number of people express their opinions about hot topics on social platforms,and the utilization of sarcastic expression has severely affected the accuracy of sentiment analysis in social media.Currently,
LIU Qilong, LI Bicheng, HUANG Zhiyong
doaj   +2 more sources

Arabic sarcasm detection [PDF]

, 2023
Sarcasm is a form of verbal irony that is often used to express ridicule or contempt. When using sarcasm, a speaker expresses their opinion in an indirect way, where the literal meaning is different from the intended one.
Abu Farha, Ibrahim
core   +1 more source

Computational sarcasm detection and understanding in online communication [PDF]

, 2023
The presence of sarcasm in online communication has motivated an increasing number of computational investigations of sarcasm across the scientific community. In this thesis, we build upon these investigations.
Oprea, Silviu Vlad
core   +1 more source

Contrastive Metapragmatics and the Shifting Semantics of “Sarcasm” in English and Danish [PDF]

, 2023
Despite valuable studies into the uses/functions of sarcasm, no previous investigation has focused on the semantics of “sarcasm” as an emic metapragmatic category.
Levisen, Carsten, Goddard, Cliff
core   +1 more source

Individual differences in sarcasm interpretation and use: Evidence from the UK and China [PDF]

, 2023
Sarcasm is commonly used in everyday language; however, little is currently known about cultural and individual differences in sarcasm interpretation and use, particularly across Western and Eastern cultures.
Zhu, Ning, Ning Zhu, Ruth Filik, Filik, Ruth   +3 more
core   +1 more source

Sarcasm detection of tweets without #sarcasm: data science approach [PDF]

, 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   +2 more sources

Examining the role of context in written sarcasm comprehension: Evidence from eye-tracking during reading [PDF]

, 2020
This article addresses a current theoretical debate between modular and interactive accounts of sarcasm processing, by investigating the role of context (specifically, knowing that a character has been sarcastic before) in the comprehension of a ...
Țurcan, Alexandra, Filik, Ruth, Howman, Hannah   +2 more
core   +1 more source