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ICWSM — A Great Catchy Name: Semi-Supervised Recognition of Sarcastic Sentences in Online Product Reviews
Open accessAbstract
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 has two stages: semi-supervised 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.
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Cites
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
Grice, H. P. (1975) · Speech Acts · doi:10.1163/9789004368811_003 · Cited by 23,221
Cited by
Techniques and applications for sentiment analysis
Feldman, R. (2013) · Communications of the ACM · doi:10.1145/2436256.2436274 · Cited by 1,489
Sarcasm as Contrast between a Positive Sentiment and Negative Situation
Riloff, E., Qadir, A., Surve, P., De Silva, L., Gilbert, N., & Huang, R. (2013) · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d13-1066 · Cited by 587
Sentiment Analysis and Opinion Mining
Zhang, L., & Liu, B. (2023) · Encyclopedia of Machine Learning and Data Science · doi:10.1007/978-1-4899-7502-7_907-2 · Cited by 518
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
Poria, S., Cambria, E., Hazarika, D., & Vij, P. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1610.08815 · Cited by 292
Metadata
- Authors
- Tsur, O., Davidov, D., & Rappoport, A.
- Venue
- Proceedings of the International AAAI Conference on Web and Social Media
- Published
- 2010-05-16
- Volume
- 4
- Issue
- 1
- Pages
- 162-169
- ISSN
- 2162-3449 (ISSN-L)
- 2334-0770
- OpenAlex
- W2099653665
- Cited by
- 347
- References
- 2
- FWCI
- 12.47
- Type
- conference paper
- Language
- en
- Open access
- diamond
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- Tsur, O., Davidov, D., & Rappoport, A. (2010). ICWSM — A Great Catchy Name: Semi-Supervised Recognition of Sarcastic Sentences in Online Product Reviews. Proceedings of the International AAAI Conference on Web and Social Media. https://doi.org/10.1609/icwsm.v4i1.14018
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