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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Editor-in-chief
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2014 Vol.2(2): 144-149 ISSN: 2301-3559
DOI: 10.7763/LNSE.2014.V2.112

Extraction of Usefulness Factors of Reviews by Factor Analysis

Kenjo Yasui, Fumiko Harada, and Hiromitsu Shimakawa
Abstract—Customers buy products without watching and using products directly in online-shopping. Customers cannot know product's details. Customers can make mistake in selecting products and regret this selection. Our research aims to extract useful information for deciding products customers buy in product review of online-shopping websites. We can prevent customers' regret by using this information. In this paper, we discover common factors between useful reviews for deciding products customers buy in online-shopping. We use factor analyses of actual reviews to discover common factors. We make the dataset for factor analyses in an experiment. The dataset is the set of critical sentences of actual reviews and their scores to evaluate their characteristics, which the examinees give. In this result, we can extract the common factors by which the useful reviews can be derived with the precision over 50 %. The common factors can be used for extracting useful information in reviews. Customers can shop without regrets in online-shopping by showing this information.

Index Terms—Review, online-shopping, factor analysis, extraction of factors, precision.

Kenjo Yasui is with the Graduate School of Science and Engineering Ritsumeikan University, Shiga, Japan (e-mail: kenjo@de.is.ritsumei.ac.jp).
Fumiko Harada and Hiromitsu Shimakawa are with College of Information Science and Engineering, Shiga, Japan (e-mail: harada@cs.ritsumei.ac.jp, simakawa@cs.ritsumei.ac.jp).

[PDF]

Cite: Kenjo Yasui, Fumiko Harada, and Hiromitsu Shimakawa, "Extraction of Usefulness Factors of Reviews by Factor Analysis," Lecture Notes on Software Engineering vol. 2, no. 2, pp. 144-149, 2014.

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