摘要: We present a set of experiments involving sentence classification, addressing issues representation and feature selection, we compare our findings with similar results from work on the more general text classification task. The domain investigation is an email-based help-desk corpus. Our investigations use various popular algorithms selection methods. highlight similarities between such as superiority Support Vector Machines, well differences, lesser extent usefulness features detrimental effect common preprocessing techniques (stop-word removal lemmatization).
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