Enhancing sarcasm detection on social media: A comprehensive study using LLMs and BERT with multi-headed attention on SARC. [PDF]
PLoS ONESarcasm detection in natural language processing (NLP) remains a complex challenge, especially in social media, where contextual clues are often subtle.
Lihong Zhang +4 more
doaj +2 more sources
Unpacking Sarcasm: A Contextual and Transformer-Based Approach for Improved Detection
ComputersSarcasm detection is a crucial task in natural language processing (NLP), particularly in sentiment analysis and opinion mining, where sarcasm can distort sentiment interpretation.
Parul Dubey +2 more
doaj +2 more sources
Sarcasm Detection with and without #Sarcasm: Data Science Approach
International Journal of Information Science and Management, 2022 Natural languages usually contain context, which is difficult for a machine to understand. Sentiment analysis is a contextual mining technique often used in NLP to identify, understand and extract subjective information in texts, such as people’s ...
Rupali Amit Bagate, R Suguna
doaj +1 more source
An automated approach to identify sarcasm in low-resource language. [PDF]
PLoS ONESarcasm 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
IdSarcasm: Benchmarking and Evaluating Language Models for Indonesian Sarcasm Detection
IEEE AccessSarcasm detection in the Indonesian language poses a unique set of challenges due to the linguistic nuances and cultural specificities of the Indonesian social media landscape.
Derwin Suhartono +2 more
doaj +2 more sources
Contextual Sarcasm Detection Model for Social Media Comments [PDF]
Jisuanji 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
A multi-scale adaptive fusion model for multimodal sarcasm detection
Discover ComputingThis paper proposes a multi-scale adaptive fusion sarcasm detection model (MSAF-SDM) to address the challenges of information complexity and insufficient inter-modal collaboration in multimodal sarcasm detection. The model integrates multi-level features
Huixin Wu, Yang Zang
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Proces. 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]
, 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 method based on fusion of text semantics and social behavior information
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