Paper: Semi-Supervised Recognition of Sarcasm in Twitter and Amazon

ACL ID W10-2914
Title Semi-Supervised Recognition of Sarcasm in Twitter and Amazon
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2010

Sarcasm is a form of speech act in which the speakers convey their message in an implicit way. The inherently ambiguous natureofsarcasmsometimesmakesithard even for humans to decide whether an ut- terance is sarcastic or not. Recognition of sarcasmcanbenefitmanysentimentanaly- sis NLP applications, such as review sum- marization, dialogue systems and review ranking systems. In this paper we experiment with semi- supervised sarcasm identification on two very different data sets: a collection of 5.9 million tweets collected from Twit- ter, and a collection of 66000 product re- views from Amazon. Using the Mechani- cal Turk we created a gold standard sam- ple in which each sentence was tagged by 3annotators, obtainingF-scoresof0.78on the product reviews dataset and 0.83 on the Twitter dataset...