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Beginning with an approach that used speech-based features, automatic sarcasm detection has witnessed great interest from the sentiment analysis community. This article is a compilation of past work in automatic sarcasm detection. We observe three milestones in the research so far: semi-supervised pattern extraction to identify implicit sentiment, use of hashtag-based supervision, and incorporation of context beyond target text. In this article, we describe datasets, approaches, trends, and issues in sarcasm detection. We also discuss representative performance values, describe shared tasks, and provide pointers to future work, as given in prior works. In terms of resources to understand the state-of-the-art, the survey presents several useful illustrations\u2014most prominently, a table that summarizes past papers along different dimensions such as the types of features, annotation techniques, and datasets used.<\/jats:p>","DOI":"10.1145\/3124420","type":"journal-article","created":{"date-parts":[[2017,9,27]],"date-time":"2017-09-27T12:33:53Z","timestamp":1506515633000},"page":"1-22","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":292,"title":["Automatic Sarcasm Detection"],"prefix":"10.1145","volume":"50","author":[{"given":"Aditya","family":"Joshi","sequence":"first","affiliation":[{"name":"IITB-Monash Research Academy, Mumbai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pushpak","family":"Bhattacharyya","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Bombay, Mumbai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark J.","family":"Carman","sequence":"additional","affiliation":[{"name":"Monash University, Caulfield East VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2017,9,26]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-3016"},{"key":"e_1_2_1_2_1","volume-title":"Proceedings of the 9th International AAAI Conference on Web and Social Media.","author":"Bamman David","unstructured":"David Bamman and Noah A. 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