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International Journal of

Recent Trends in Engineering

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International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1, Number 1, May 2009

Issue on Computer Science

Page(s): 194-199

Web based Quality Assessment of Customer Reviews using Quartile Measure

P.S Hiremath, Siddu P. Algur, Shivashankar S.

Full text: PDF

Abstract

As e-commerce is gaining popularity day by day, the web has become an excellent source for gathering customer reviews / opinions by the market researchers. The number of customer reviews that a product receives is growing at very fast rate (It could be in hundreds or thousands). Customer reviews posted on the websites vary greatly in quality. The potential customer has to read necessarily all the reviews irrespective of their quality to make a decision on whether to purchase the product or not. In this paper, we make an attempt to assess a review based on its quality, to help the customer make a proper buying decision. The quality of customer review is assessed as most significant, more significant, significant and insignificant. A novel and effective web mining technique is proposed for assessing a customer review of a particular product based on the feature distribution. This is performed in three steps : (1) Identify review regions and extract reviews from it. (2) Extract and group the features of reviews by quartile measure and then assign weights to the features belonging to each of the groups. (3) Assess the review by considering the feature weights and group belongingness. Experimental results demonstrate the effectiveness of the proposed technique which measure the quality of review and assess it accordingly. The efficiency of the task of customer review summarization can be enhanced by identifying and eliminating insignificant reviews.

Index Terms

Customer reviews, Quartile measure, Summarization, Feature extraction, Feature weight, Web mining

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