Disambiguating sentiment annotation: A mixed methods investigation of annotator experience and impact of instructions on annotator agreement. [PDF]
PLoS OneÄyräväinen LEM, Hinds J, Davidson BI.
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Collective moderation of hate, toxicity, and extremity in online discussions. [PDF]
PNAS NexusLasser J +5 more
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Cross-language hotel review sentiment analysis via multi-agent federated learning with heterogeneous graph attention networks. [PDF]
Sci RepHan X.
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Cyberbullying detection approaches for Arabic texts: a systematic literature review. [PDF]
Front Artif IntellAllwaibed H +3 more
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Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Sarcasm Suite is a browser-based engine that deploys five of our past papers in sarcasm detection and generation. The sarcasm detection modules use four kinds of incongruity: sentiment incongruity, semantic incongruity, historical context incongruity and conversational context incongruity. The sarcasm generation module is a chatbot that
Aditya Joshi 0001 +3 more
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International Journal of Semantic Computing, 2018 In this paper, we want to review one of the challenging problems for the opinion mining task, which is sarcasm detection. To be able to do that, many researchers tried to explore such properties in sarcasm like theories of sarcasm, syntactical properties, psycholinguistic of sarcasm, lexical feature, semantic properties, etc.
Ibisoglu, Taha Yasin +2 more
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Sarcasm-GPT: advancing sarcasm detection with large language models
The Computer JournalSarcasm detection is a nuanced challenge in natural language processing, requiring deep understanding of textual and contextual cues. We present Sarcasm-GPT, a large language model-based model that integrates four key components: prompt template ...
Qiuyu Li +4 more
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Arabic sarcasm detection [PDF]
, 2023 Sarcasm is a form of verbal irony that is often used to express ridicule or contempt. When using sarcasm, a speaker expresses their opinion in an indirect way, where the literal meaning is different from the intended one. Additionally, sarcasm is a sociolinguistic tool that people use to express themselves and it reflects their cultural and social ...
Abu Farha, Ibrahim
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KnowleNet: Knowledge fusion network for multimodal sarcasm detection
Information Fusion, 2023 Sarcasm is a form of communication often used to express contempt or ridicule, where the speaker conveys a message opposite to their true meaning, typically intending to mock or belittle a specific target.
Tan Yue, Rui Mao, Zonghai Hu
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Sememe knowledge and auxiliary information enhanced approach for sarcasm detection
Information Processing and Management, 2022 Sarcasm expression is a pervasive literary technique in which people intentionally express the opposite of what is implied. Accurate detection of sarcasm in a text can facilitate the understanding of speakers’ true intentions and promote other natural ...
Zhiyuan Wen, Lin Gui, Qianlong Wang
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