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   Articles with "sarcasm" as a keyword



A contextual-based approach for sarcasm detection

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recommendations! Published in 2024 at "Scientific Reports"

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

The Sarchasm: Sarcasm Production and Identification in Spontaneous Conversation

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recommendations! Published in 2020 at "Discourse Processes"

DOI: 10.1080/0163853x.2020.1759016

Abstract: ABSTRACT We tested sarcasm production and identification across original communicators in a spontaneously produced conversational setting, including testing the role of synchronous movement on sarcasm production and identification. Before communicating, stranger dyads participated in either… read more here.

Keywords: production identification; sarchasm sarcasm; sarcasm; sarcasm production ... See more keywords

A Novel Retrospective-Reading Model for Detecting Chinese Sarcasm Comments of Online Social Network

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recommendations! Published in 2025 at "IEEE Transactions on Computational Social Systems"

DOI: 10.1109/tcss.2024.3470317

Abstract: Through the use of sarcastic sentences on social media, people can express their strong emotions. Therefore, the detection of sarcasm in social media has received more and more attention over the past years. Classifying a… read more here.

Keywords: chinese sarcasm; sarcasm; model; contextual information ... See more keywords

Deep Learning for Sarcasm Identification in News Headlines

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recommendations! Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13095586

Abstract: 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… read more here.

Keywords: news headlines; news; deep learning; model ... See more keywords

Hate Speech Detection by Using Rationales for Judging Sarcasm

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recommendations! Published in 2024 at "Applied Sciences"

DOI: 10.3390/app14114898

Abstract: The growing number of social media users has impacted the rise in hate comments and posts. While extensive research in hate speech detection attempts to combat this phenomenon by developing new datasets and detection models,… read more here.

Keywords: detection; hate; hate speech; sarcasm ... See more keywords