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http://dx.doi.org/10.9717/kmms.2022.25.2.269

Research on the Users' Inquiries on the Easy Payment Services using Text Mining Method  

Kim, Myoung Suk (Dept. of Business Management, Seoul Women's University)
Kim, Jiyeon (Dept. of Computer Engineering, Daegu University)
Publication Information
Journal of Korea Multimedia Society / v.25, no.2, 2022 , pp. 269-279 More about this Journal
Abstract
Though easy payment service is the most well accepted one among various fin-tech services, the users still face difficulties and feel embarrassed when they use it. Over the past few years, many studies have been done on the users' experiences of easy payment service but there are little studies directly exploring the users' inquiries on the web. In this paper, we analyzed users' questions on Kakao Pay, Naver Pay, and Samsung Pay in Naver Jisik-iN, the biggest inquiry service in Korea from 2019 to 2020. We used keyword analysis, association analysis, and sentiment analysis. We found out that each payment service has distinct inquiries from the users according to its platform which it is based on.
Keywords
Easy Payment Service; Kakao Pay; Naver Pay; Samsung Pay; Users' Inquiries; Text Mining Method;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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