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Accessing Positive and Negative Online Opinions

  • Hanhoon Kang
  • Seong Joon Yoo
  • Dongil Han
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5616)

Abstract

Nowadays, an increasing number of people review the comments on each item before they will purchase the commodities and services offered by online shopping malls, Internet blogs, or cafés. However, it is somewhat challenging to routinely read trough all of the comments. The purpose of this study is to introduce some methods to classify the positive or negative review pertaining to the blog comments on a movie written in Korean. For this purpose, a variety of algorithms was used to classify the reviews and allow feature-selection by applying the traditional machine learning method for classifying literature.

Keywords

opinion mining machine learning text categorization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hanhoon Kang
    • 1
  • Seong Joon Yoo
    • 1
  • Dongil Han
    • 1
  1. 1.School of Computer EngineeringSejong UniversitySeoulKorea

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