ICWSM - A great catchy name: Semi-supervised recognition of sarcastic sentences in online product reviews

Oren Tsur, Dmitry Davidov, Ari Rappoport

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

249 Scopus citations

Abstract

Sarcasm is a sophisticated form of speech act widely used in online communities. Automatic recognition of sarcasm is, however, a novel task. Sarcasm recognition could contribute to the performance of review summarization and ranking systems. This paper presents SASI, a novel Semi-supervised Algorithm for Sarcasm Identification that recognizes sarcastic sentences in product reviews. SASI ha two stages: semisupervised pattern acquisition, and sarcasm classification. We experimented on a data set of about 66000 Amazon reviews for various books and products. Using a gold standard in which each sentence was tagged by 3 annotators, we obtained precision of 77% and recall of 83.1% for identifying sarcastic sentences. We found some strong features that characterize sarcastic utterances. However, a combination of more subtle pattern-based features proved more promising in identifying the various facets of sarcasm. We also speculate on the motivation for using sarcasm in online communities and social networks.

Original languageAmerican English
Title of host publicationICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media
Pages162-169
Number of pages8
StatePublished - 2010
Event4th International AAAI Conference on Weblogs and Social Media, ICWSM 2010 - Washington, DC, United States
Duration: 23 May 201026 May 2010

Publication series

NameICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media

Conference

Conference4th International AAAI Conference on Weblogs and Social Media, ICWSM 2010
Country/TerritoryUnited States
CityWashington, DC
Period23/05/1026/05/10

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