Results 31 to 40 of about 8,859 (289)
Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model [PDF]
PeerJ Computer Science, 2021 Sarcasm emerges as a common phenomenon across social networking sites because people express their negative thoughts, hatred and opinions using positive vocabulary which makes it a challenging task to detect sarcasm.
Ramish Jamil +5 more
doaj +2 more sources
Sarcasm in Indonesian Television Show Pesbukers
, 2023 Pesbukers' communication style frequently catches the audience's attention since they are not just restricted to the jokes that are hurled but also come with sarcasm, which is presented in each episode.
Lubis, Fauziah Khairani, Bahri, Syamsul
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
, 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 +2 more
core +1 more source
Corpus Annotation and Analysis of Sarcasm in Twitter: #CatsMovie vs. #TheRiseOfSkywalker
Atlantis, 2022 Sentiment analysis is a natural language processing task that has received increased attention in the last decade due to the vast amount of opinionated data on social media platforms such as Twitter.
Antonio Moreno-Ortiz +1 more
doaj +1 more source
Reasoning with Sarcasm by Reading In-Between [PDF]
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018 Sarcasm is a sophisticated speech act which commonly manifests on social communities such as Twitter and Reddit. The prevalence of sarcasm on the social web is highly disruptive to opinion mining systems due to not only its tendency of polarity flipping but also usage of figurative language.
Yi Tay +3 more
openaire +2 more sources
iSarcasm: A Dataset of Intended Sarcasm [PDF]
, 2020 We consider the distinction between intended and perceived sarcasm in the context of textual sarcasm detection. The former occurs when an utterance is sarcastic from the perspective of its author, while the latter occurs when the utterance is interpreted
Oprea, Silviu Vlad +3 more
core +1 more source
Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection [PDF]
, 2023 Recently, author-annotated sarcasm datasets, which focus on intended, rather than perceived sarcasm, have been introduced. Although datasets collected using first-party annotation have important benefits, there is no comparison of human and machine ...
Oprea, Silviu Vlad +3 more
core +2 more sources
, 2020 This dissertation investigates the use of sarcasm in the undisputed letters of Paul. A methodologically rigorous treatment of this subject can make an important contribution to Pauline studies, as determining whether a given passage is meant sincerely or
core +1 more source
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
doaj +1 more source