Sarcasm Detection on Twitter: a Comparative Survey

Sarcasm is an expression or style of utterance that has the opposite meaning from the written words. With this ambiguity, sarcasm detection is a difficult task even for humans. Twitter is one of the most popular microblog platforms on which users can publish their thoughts and opinions and Sarcasm detection on Twitter is a field that has recently attracted research interest. Until now, researchers have developed several techniques for sarcasm detection from textual contents. This paper provides a survey of this field by first presenting an introduction to sarcasm, followed by an in-depth discussion. To reach this purpose, we review some relevant previous works in sarcasm-detecting approaches and we present their techniques. The survey also introduces several useful illustrations-most prominently, a table that summarizes papers along different dimensions such as the types of features, approach, algorithms, language, annotation, and datasets used.