Extraction and use of opinion words for the three-way review classification problem

Authors

  • I.I. Chetviorkin

Keywords:

knowledge acquisition
opinion word extraction
review classification
machine learning

Abstract

A new approach for the domain-specific opinion word extraction is proposed. This approach is based on several text collections and various statistical features computed using them. The extracted opinion words are used in the three-way review classification problem. In this problem, the reviews are divided into the following groupdf: «thumbs up», «so-so», and «thumbs down». In order to solve this problem, we use various features, such as opinion words, word weights, punctuation marks, and operator words that can affect the polarity of the next words.

New computational technologies

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Published

2011-11-10

Issue

Vol. 12 (2011): Issue 4.

Section

Section 2. Programming

Author Biography

I.I. Chetviorkin

Lomonosov Moscow State University,
Faculty of Computational Mathematics and Cybernetics
• PhD Student

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