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Irony is something most people can tell is therewhen they see it, but it is not so easy to define, let alone detectautomatically. In this paper we describe the construction of abalanced corpus of ironic vs. serious watch reviews and show thepromising results achieved by classifiers trained on this corpusin predicting the presence of irony or lack thereof in productreviews from a manually labeled corpus...
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