An algorithm that identifies sarcastic tweets on Twitter and sarcastic sentences in product reviews on Amazon will be presented next week in the International Conference for Weblogs and Social Media (ICWSM) in D.C. (and in the Computational Natural Language Learning [CoNLL] in Sweeden in July). A team from the Hebrew University, Israel has developed an algorithm that identifies those sarcastic sentences. The algorithm uses a machine learning technique in which a small number of sarcastic sentences (seed) are given as examples for the software to learn and generalize upon. The algorithm can then identify sarcastic sentences that are nothing like the examples. The variety of recognized sarcastic sentences is quite impressive even though not perfect. But again, we don't do it so well ourselves, don't we?
1. ICWSM — A Great Catchy Name: Semi-Supervised Recognition of Sarcastic Sentences in Product Reviews: http://staff.science.uva.nl/~otsur/papers/sarcasmAmazonICWSM10.pdf [To be presebted next week in Washington DC]
2. Semi-Supervised Recognition of Sarcastic Sentences in Twitter and Amazon: http://staff.science.uva.nl/~otsur/papers/conll_camFINAL.pdf [to be presented in Sweeden in the ACL-CoNLL conference in July]