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http://dx.doi.org/10.14400/JDC.2022.20.3.221

Study on Potential Topics of the MyData and Data Transactions Using LDA Topic Modeling  

Cho, Ji Yeon (Communications Policy Research Center, Yonsei University)
Lee, Bong Gyou (Graduate School of Information, Yonsei University)
Publication Information
Journal of Digital Convergence / v.20, no.3, 2022 , pp. 221-229 More about this Journal
Abstract
With the recent full-fledged MyData service, interest in the use of personal data is increasing. However, studies on MyData are still in the early stages, focusing on legal and institutional discussions, and studies from a comprehensive perspective are insufficient. Therefore, this study aimed at finding the potential topics formed by social discussions by analyzing news data from 2018 to the present. News data analysis using LDA topic modeling were conducted and 6 potential topics including digital transformation in finance, scope of Mydata business license, amendments and data-related laws, safe use of big data, data economy promotion policy and strategy of the financial industry were derived. This study has significance in that it comprehensively viewed the issues that emerged with the MyData and deriving gaps in previous discussion. Future research is expected to identify changes after the launch of MyData service and provide specific implications through research by specific industries.
Keywords
MyData; Data Transaction; Issue analysis; Topic Modeling; LDA algorithm;
Citations & Related Records
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