A contextual-based approach for sarcasm detection
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DOI: 10.1038/s41598-024-65217-8
Abstract: Sarcasm is a perplexing form of human expression that presents distinct challenges in understanding. The problem of sarcasm detection has centered around analyzing individual utterances in isolation which may not provide a comprehensive understanding of… read more here.
Keywords: news headlines; sarcasm detection; sarcasm; approach sarcasm ... See more keywords
Enhancing sarcasm detection in sentiment analysis for cyberspace safety using advanced deep learning techniques
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DOI: 10.1038/s41598-025-08131-x
Abstract: Social media has become an integral part of daily life, with platforms like Twitter serving as popular outlets for users to share information and express grievances. While social media offers numerous benefits, it can also… read more here.
Keywords: deep learning; sarcasm detection; detection sentiment; analysis ... See more keywords
Sarcasm Detection Using Soft Attention-Based Bidirectional Long Short-Term Memory Model With Convolution Network
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DOI: 10.1109/access.2019.2899260
Abstract: A large community of research has been developed in recent years to analyze social media and social networks, with the aim of understanding, discovering insights, and exploiting the available information. The focus has shifted from… read more here.
Keywords: satt blstm; convnet; attention; sarcasm detection ... See more keywords
Sarcasm Detection Using Deep Learning With Contextual Features
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DOI: 10.1109/access.2021.3076789
Abstract: Our work focuses on detecting sarcasm in tweets using deep learning extracted features combined with contextual handcrafted features. A feature set is extracted from a Convolutional Neural Network (CNN) architecture before it is combined with… read more here.
Keywords: sarcasm detection; detection using; feature sets; using deep ... See more keywords
A Comprehensive Survey on Arabic Sarcasm Detection: Approaches, Challenges and Future Trends
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DOI: 10.1109/access.2023.3247427
Abstract: On social media platforms, it is essential to express one’s thoughts, opinions, and reviews. One of the most widely used linguistic forms to criticize or express a person’s ideas with ridicule is sarcasm, where the… read more here.
Keywords: survey arabic; arabic sarcasm; detection; comprehensive survey ... See more keywords
IdSarcasm: Benchmarking and Evaluating Language Models for Indonesian Sarcasm Detection
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DOI: 10.1109/access.2024.3416955
Abstract: Sarcasm 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. Understanding the dynamics of sarcasm in this context requires… read more here.
Keywords: sarcasm detection; language; language models; indonesian sarcasm ... See more keywords
Sarcasm Detection in Indonesian-English Code-Mixed Text Using Multihead Attention-Based Convolutional and Bi-Directional GRU
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DOI: 10.1109/access.2024.3436107
Abstract: Detecting sarcasm in text is a very challenging task. Sarcasm often depends on context, tone, and cultural references, which can be difficult for machines to understand. In addition, the increasing occurrence of code-mixing in social… read more here.
Keywords: detection; text; indonesian english; sarcasm detection ... See more keywords
Federated Learning for Sarcasm Detection: A Study of Attention-Enhanced BILSTM, GRU, and LSTM Architectures
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DOI: 10.1109/access.2024.3520659
Abstract: The previous centralized machine learning methods required combining large amounts of personal data on central servers, raising privacy concerns. Federated Learning (FL) presents a solution by training the models directly on users’ devices, thus preserving… read more here.
Keywords: detection; sarcasm detection; attention; federated learning ... See more keywords
SINCERE: A Hybrid Framework With Graph-Based Compact Textual Models Using Emotion Classification and Sentiment Analysis for Twitter Sarcasm Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2023.3315754
Abstract: Sarcasm is an expression of contempt expressed through verbal irony. It is a nuanced form of language that individuals use to imply the opposite of what they are actually saying, and thus it can be… read more here.
Keywords: sarcasm detection; language; graph based; framework ... See more keywords
CFN: A Complex-Valued Fuzzy Network for Sarcasm Detection in Conversations
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2021.3072492
Abstract: Sarcasm detection in conversation, a theoretically and practically challenging artificial intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric information implied in daily conversations. Most of the recent approaches in sarcasm detection have neglected… read more here.
Keywords: valued fuzzy; sarcasm detection; complex valued; fuzzy network ... See more keywords
Sarcasm detection using machine learning algorithms in Twitter: A systematic review
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Market Research"
DOI: 10.1177/1470785320921779
Abstract: Recognizing both literal and figurative meanings is crucial to understanding users’ opinions on various topics or events in social media. Detecting the sarcastic posts on social media has received much attention recently, particularly because sarcastic… read more here.
Keywords: machine; machine learning; learning algorithms; twitter ... See more keywords