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Automatic Sarcasm Detection: A Survey

Abstract

Automatic detection of sarcasm has witnessed interest from the sentiment analysis research community. With diverse approaches, datasets and analyses that have been reported, there is an essential need to have a collective understanding of the research in this area. In this survey of automatic sarcasm detection, we describe datasets, approaches (both supervised and rule-based), and trends in sarcasm detection research. We also present a research matrix that summarizes past work, and list pointers to future work.

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