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An important task in machine learning and natural language processing is to learn to recognize different types of human speech, including humor, sarcasm, insults, and profanity. In this paper we describe our method to produce test and training data sets to assist in this task. Our test data sets are taken from the domain of free, libre, and open source software (FLOSS) development communities. We...
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