Results 11 to 20 of about 4,714,839 (322)

SARCASM DETECTION IN PERSIAN [PDF]

open access: yesJournal of ICT, 2020
Sarcasm is a form of communication where the individual states the opposite of what is implied. Therefore, detecting a sarcastic tone is somewhat complicated due to its ambiguous nature.
Zahra Bokaee Nezhad, Mohammad Deihimi
doaj   +6 more sources

Automatic Sarcasm Detection [PDF]

open access: yesACM 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

Arabic sarcasm detection: An enhanced fine-tuned language model approach

open access: yesAin Shams Engineering Journal
Sarcasm is a complex linguistic phenomenon involving humor, criticism, or phrases that convey the opposite meaning, mask true feelings, and play pivotal roles in various aspects of communication.
Mohamed A. Galal   +3 more
doaj   +4 more sources

Sentiment Analysis With Sarcasm Detection On Politician’s Instagram

open access: yesIJCCS (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   +3 more sources

Contextualized Sarcasm Detection on Twitter

open access: yesProceedings of the International AAAI Conference on Web and Social Media, 2021
Sarcasm requires some shared knowledge between speaker and audience; it is a profoundly contextual phenomenon.  Most computational approaches to sarcasm detection, however, treat it as a purely linguistic matter, using information such as lexical cues and their corresponding sentiment as predictive features.
David Bamman, Noah A. Smith
openaire   +3 more sources

SARCASM DETECTION IN ONLINE REVIEW TEXT [PDF]

open access: yesICTACT 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

Affective Dependency Graph for Sarcasm Detection [PDF]

open access: yesProceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Detecting sarcastic expressions could promote the understanding of natural language in social media. In this paper, we revisit sarcasm detection from a novel perspective, so as to account for the longrange literal sentiment inconsistencies. More concretely, we explore a novel scenario of constructing an affective graph and a dependency graph for each ...
Chenwei Lou   +5 more
openaire   +3 more sources

Sarcasm Detection For Sentiment Analysis in Indonesian Tweets

open access: yesIJCCS (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   +3 more sources

CCSD:Topic-oriented Sarcasm Detection [PDF]

open access: yesJisuanji 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

Graph convolutional network with reinforced dependency graph and denoising mechanism for sarcasm detection [PDF]

open access: yesScientific Reports
The widespread presence of sarcasm in social media presents significant challenges to sentiment analysis and public opinion monitoring, making accurate sarcasm detection particularly important.
Pingping Yan   +5 more
doaj   +2 more sources

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