Results 21 to 30 of about 2,787,876 (276)

BanglaSarc: A Dataset for Sarcasm Detection

open access: yes2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2022
Being one of the most widely spoken language in the world, the use of Bangla has been increasing in the world of social media as well. Sarcasm is a positive statement or remark with an underlying negative motivation that is extensively employed in today's social media platforms.
Tasnim Sakib Apon   +5 more
openaire   +4 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   +3 more sources

An automated approach to identify sarcasm in low-resource language. [PDF]

open access: yesPLoS ONE
Sarcasm detection has emerged due to its applicability in natural language processing (NLP) but lacks substantial exploration in low-resource languages like Urdu, Arabic, Pashto, and Roman-Urdu. While fewer studies identifying sarcasm have focused on low-
Shumaila Khan   +6 more
doaj   +2 more sources

Contextual Sarcasm Detection Model for Social Media Comments [PDF]

open access: yesJisuanji gongcheng, 2021
Sarcasm is a common pragmatic phenomenon in daily communication that enriches the views of speakers and indirectly expresses the their deep meaning.The research goal of sarcasm detection task is to mine the sarcasm tendency of target sentences.As the ...
HAN Hu, ZHAO Qitao, SUN Tianyue, LIU Guoli
doaj   +1 more source

Sarcasm Detection with BERT

open access: yesProces. del Leng. 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   +4 more sources

Computational sarcasm detection and understanding in online communication [PDF]

open access: yes, 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

SARCASM DETECTION ON TWITTER DATA USING SUPPORT VECTOR MACHINE [PDF]

open access: yesICTACT Journal on Soft Computing, 2020
Sarcasm can change the polarity of a sentence and it becomes the opposite. While sentiment analysis on social media has been widely used, but it is still rare to find sentiments and analyze them, considering the detection of sarcasm in it.
Ashima Garg, Neelam Duhan
doaj   +1 more source

Transformers on Sarcasm Detection with Context [PDF]

open access: yesProceedings of the Second Workshop on Figurative Language Processing, 2020
Sarcasm Detection with Context, a shared task of Second Workshop on Figurative Language Processing (co-located with ACL 2020), is study of effect of context on Sarcasm detection in conversations of Social media. We present different techniques and models, mostly based on transformer for Sarcasm Detection with Context.
Amardeep Kumar, Vivek Anand
openaire   +2 more sources

Sarcasm detection method based on fusion of text semantics and social behavior information

open access: yes网络与信息安全学报, 2023
Sarcasm is a complex implicit emotion that poses a significant challenge in sentiment analysis, particularly in social network sentiment analysis.Effective sarcasm detection holds immense practical significance in the analysis of network public opinion ...
Zhaoyang FU, Zhikai CHEN, Li PAN
doaj   +3 more sources

Sarcasm Detection and Quantification in Arabic Tweets [PDF]

open access: yes2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021
The role of predicting sarcasm in the text is known as automatic sarcasm detection. Given the prevalence and challenges of sarcasm in sentiment-bearing text, this is a critical phase in most sentiment analysis tasks. With the increasing popularity and usage of different social media platforms among users around the world, people are using sarcasm more ...
Bashar Talafha   +4 more
openaire   +3 more sources

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