TY - GEN
T1 - ICWSM - A great catchy name
T2 - 4th International AAAI Conference on Weblogs and Social Media, ICWSM 2010
AU - Tsur, Oren
AU - Davidov, Dmitry
AU - Rappoport, Ari
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84890662077&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84890662077
SN - 9781577354451
T3 - ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media
SP - 162
EP - 169
BT - ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media
Y2 - 23 May 2010 through 26 May 2010
ER -