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http://dx.doi.org/10.9723/jksiis.2020.25.3.039

A Study on Analysis of Topic Modeling using Customer Reviews based on Sharing Economy: Focusing on Sharing Parking  

Lee, Taewon (동의대학교 상경대학 정보경영학부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.25, no.3, 2020 , pp. 39-51 More about this Journal
Abstract
This study will examine the social issues and consumer awareness of sharing parking through the method text mining. In this experiment, the topic by keyword was extracted and analyzed using TFIDF (Term frequency inverse document frequency) and LDA (Latent dirichlet allocation) technique. As a result of categorization by topic, citizens' complaints such as local government agreements, parking space negotiations, parking culture improvement, citizen participation, etc., played an important role in implementing shared parking services. The contribution of this study highly differentiated from previous studies that conducted exploratory studies using corporate and regional cases, and can be said to have a high academic contribution. In addition, based on the results obtained by utilizing the LDA analysis in this study, there is a practical contribution that it can be applied or utilized in establishing a sharing economy policy for revitalizing the local economy.
Keywords
Sharing economy; Sharing parking; Customer review; LDA; Topic modeling;
Citations & Related Records
Times Cited By KSCI : 14  (Citation Analysis)
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