Genre-Based Stages Classification for Polarity Analysis

نویسندگان

  • John A. Roberto
  • Maria Salamó
  • Maria Antònia Martí
چکیده

Polarity detection of Online Reviews is one of the most popular tasks related to Opinion Mining. Given that most state-of-the-art solutions ignore the structural aspects of a review, we present an approach to polarity detection that, first, distinguishes stages in the genre of hotel reviews and, subsequently, evaluates the usefulness of each type of stage in the determination of the polarity of the entire review. Our experiments show that our proposal provides good accuracy rates in identifying the overall polarity of a review by using a very small proportion of the text.

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تاریخ انتشار 2015