Improving Sentence-level Subjectivity Classification through Readability Measurement

نویسنده

  • Robert Remus
چکیده

We show that the quality of sentence-level subjectivity classification, i.e. the task of deciding whether a sentence is subjective or objective, can be improved by incorporating hitherto unused features: readability measures. Hence we investigate in 6 different readability formulae and propose an own. Their performance is evaluated in a 10-fold cross validation setting using machine learning. Thereby, it is demonstrated that sentence-level subjectivity classification benefits from employing readability measures as features in addition to already well-known subjectivity clues.

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تاریخ انتشار 2011