A feature-opinion extraction approach to opinion mining

Journal of Web EngineeringPublished 1 March 2012Open access

Bolanle Adefowoke Ojokoh, Olumide Kayode

DOI10.5555/2230876.2230879

Source URL

Citations17

SJR quartileQ3

SJR score0.31

SNIP0.59

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TL;DR

A method that extracts feature and opinion pairs from online reviews, determines the polarity and strength of these opinions with the aim of summarizing and determining the recommendation status of the customers' reviews is proposed.

Abstract

With the rapid expansion of the web and e-commerce in recent times, increasingly numerous products are bought and sold on the Web. A lot of product reviews which would be very useful for potential customers to make better decisions are generated by web users. It is highly essential to produce a correct and quick summary of these reviews. In this paper, we propose a method that extracts feature and opinion pairs from online reviews, determines the polarity and strength of these opinions with the aim of summarizing and determining the recommendation status of the customers' reviews. The evaluation results on opinion extraction from the reviews of digital camera demonstrate the effectiveness of the proposed technique.

Keywords

Computer Science

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