Results 11 to 20 of about 72,126 (279)

Deep Learning for Sarcasm Identification in News Headlines

open access: yesApplied 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
doaj   +1 more source

Positive Feedback Loops: Sarcasm and the Pseudo-Argument in Reddit Communities

open access: yesStudies 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

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   +1 more source

An Experimental Study on Sarcasm Comprehension in School Children: The Possible Role of Contextual, Linguistics and Meta-Representative Factors

open access: yesBrain Sciences, 2023
Understanding sarcasm is a complex ability, which includes several processes. Previous studies demonstrated the possible roles of linguistic and meta-representative factors in understanding sarcasm in school children, while the influence of specific ...
Rachele Fanari   +2 more
doaj   +1 more source

Sarcasm detection on Twitter [PDF]

open access: yes, 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
core   +1 more source

Cognitive Relationship-Based Approach for Urdu Sarcasm and Sentiment Classification

open access: yesIEEE Access, 2023
Humans have a natural tendency to express their emotions, but they are also skilled at using sarcasm to shape their feelings. In cognitive computing and natural language processing research, sentiment analysis and sarcasm detection are typically treated ...
Muhammad Yaseen Khan   +3 more
doaj   +1 more source

Sarcasm Detection with BERT

open access: yesProcesamiento del Lenguaje Natural, 2021
El sarcasmo se usa con frecuencia para realizar crítica o burla indirecta, a veces hiriendo los sentimientos de alguien. Algunas veces, las personas tienen dificultades para reconocer los comentarios sarcásticos, ya que decimos lo contrario de lo que realmente queremos decir.
Scola, Elsa, Segura Bedmar, Isabel
openaire   +3 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.
Joshi A., Bhattacharyya P., Carman M. J.
openaire   +3 more sources

“Sarcasm”

open access: yesNotes and Queries
The communicator indirectly criticises, rebukes, or refutes by mentioning something positive which the addressee can understand or infer as actually being negative.
  +7 more sources

A Multi-Dimension Question Answering Network for Sarcasm Detection

open access: yesIEEE Access, 2020
Sarcasm is a form of figurative language where the literal meaning of words cannot hold, and instead the opposite interpretation is intended in a text.
Yufeng Diao   +6 more
doaj   +1 more source

Home - About - Disclaimer - Privacy