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

Authors

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.

Author Biography

I.I. Chetviorkin

References

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Published

10-11-2011

How to Cite

Лукашевич Н.В. Extraction and Use of Opinion Words for the Three-Way Review Classification Problem // Numerical Methods and Programming (Vychislitel’nye Metody i Programmirovanie). 2011. 12. 73-81

Issue

Section

Section 2. Programming