Sentiment classification of online product reviews using product features

Ale ebrahim, N.; Fathian, M.; Gholamian, M. R.;
Department of Electronic Commerce, Iran University of Science and Technology
This paper appears in: Data Mining and Intelligent Information Technology Applications (ICMiA), 2011 3rd International Conference on
Issue Date: 24-26 Oct. 2011
On page(s): 242 - 245
Location: Coloane, Macao
Print ISBN: 978-1-4673-0231-9
Date of Current Version: 22 December 2011

Abstract

There is a great number of online product reviews on the Internet which needs to be organized. In this paper, we consider the problem of sentiment classification of online reviews to determine the overall semantic orientation of customer reviews. Our proposed method for review classification is a supervised machine learning method based on extracting product features and the polarity of opinions expressed about the features.

IEEE Xplore - Sentiment classification of online product reviews using product features