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http://dx.doi.org/10.14400/JDC.2016.14.12.141

Predicting Success of Government Policy in the Future with Futures Wheel and Text Mining : Predicting the Future Policy of Wage Peak System  

Kim, Hyong-Jung (Graduate School of Business, Sogang University)
Kim, Jin-Hwa (School of Business, Sogang University)
Publication Information
Journal of Digital Convergence / v.14, no.12, 2016 , pp. 141-153 More about this Journal
Abstract
The purpose of this study is to predict future of wage-peak system by using text mining, futures wheel and polarity voting (+, -) techniques after reviewing a variety of documents. For this study, we collected articles, news articles, SNS(Twitter, Blog), research report documents. Above all, we extracted keywords for main subject words by utilizing text mining techniques. Next, we drew a final conclusion about future of wage-peak system by using futures wheel and polarity voting techniques. The result showed that future of wage peak system is positive. Two of five main topics were negatively predicted (favor/oppose of wage-peak system, solving task of wage-peak system), however, three of five main topics were positively predicted (background of wage-peak system, purpose/reason of wage-peak system, alternative wage-peak system). Therefore, because three of the five main topics were positively predicted, the future for wage-peak system is positive.
Keywords
Government Policy; Text Mining; Futures Wheel; Polarity Voting; Wage Peak System; Aging Society;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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