Results 11 to 20 of about 8,859 (289)
Automatic Sarcasm Detection [PDF]
ACM Computing Surveys, 2017 Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing text. Beginning with an approach that used speech-based features, automatic sarcasm detection has witnessed great interest from the sentiment analysis community.
Aditya Joshi 0001 +2 more
core +5 more sources
SARCASM DETECTION IN ONLINE REVIEW TEXT [PDF]
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 +2 more sources
The unbearable hurtfulness of sarcasm [PDF]
Expert Systems with Applications, 2022 The work of S. Frenda, A.T. Cignarella, C. Bosco and V. Patti was partially funded by VolksWagen Stiftung and Compagnia di San Paolo, Italy under the call "Challenges for Europe'' for the research projects "STudying European Racial Hoaxes and sterEOTYPES'' (STERHEOTYPES, S129542). The work of V. Basile, A.T. Cignarella, C. Bosco and V.
Simona Frenda +5 more
openaire +3 more sources
CCSD:Topic-oriented Sarcasm Detection [PDF]
Jisuanji kexueWith 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
Positive Feedback Loops: Sarcasm and the Pseudo-Argument in Reddit Communities
Studies in Applied Linguistics & TESOL, 2016 When it comes to modes of communication, sarcasm may be most commonly associated with the angst-ridden adolescent or rebellious teenager. While the use of sarcasm is certainly not exclusive to these communities, such a comparison may not be entirely ...
Christopher Mueller
doaj +3 more sources
Sentiment Analysis With Sarcasm Detection On Politician’s Instagram
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 Sarcasm is one of the problem that affect the result of sentiment analysis. According to Maynard and Greenwood (2014), performance of sentiment analysis can be improved when sarcasm also identified. Some research used Naïve Bayes and Random Forest method
Aisyah Muhaddisi +2 more
doaj +1 more source
Unfolding Sarcasm in Twitter Using C-RNN Approach
, 2021 Sarcasm detection in text is an inspiring field to explore due to its contradictory behavior. Textual data can be analyzed in order to discover clues those lead to sarcasm.
Akash Mehta, Dutta, Shawni
core +1 more source