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A Text Mining Approach to the Comparative Analysis of the Blockchain Issues : South Korea and the United States

텍스트 마이닝을 활용한 블록체인 이슈 분석 : 한국과 미국

  • 손새아 (연세대학교 정보대학원) ;
  • 전병진 (연세대학교 정보대학원) ;
  • 김희웅 (연세대학교 정보대학원)
  • Received : 2018.11.02
  • Accepted : 2019.01.24
  • Published : 2019.03.31

Abstract

Blockchain technology, which enables transparent transactions among individuals without central control, opens up diverse business possibilities. It is also expected that blockchain will have a ripple effect on the entire area of society including finance, manufacturing, distribution, and the public sector. Previous studies related to the blockchain also deals with its functional features and application to industrial and public fields. In the new technology such as blockchain, it is necessary to know what social perception is in order to create technological development environment, but there is a lack of research on it. Therefore, this study aims to find out the implications for industrial and policy direction by analyzing issues related to the blockchain in South Korea and the US through text mining. From these two countries, we collected text data related to blockchain in online communities and internet articles. Then, we did co-occurrence analysis and topic modeling on them respectively. As a result of this study, we have found common points and differences in keywords and topics extracted from social media in the two countries. Based on them, we can offer helpful suggestions for building a sound blockchain ecosystem, and directions for future research.

Keywords

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Research Procedure

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Comparison of Topics of Online Forum in South Korea and the United States

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Comparison of Topics of News Articles in South Korea and the United States

Previous Studies Related to Blockchain

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Descriptive Statistics

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Co-occurred Words with 'Blockchain' in the Online Forums of South Korea and the US

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Co-occurred Words with 'Blockchain' in the News Articles of South Korea and the US

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Results of Topic Modeling of Online Forum in South Korea

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Results of Topic Modeling of Online Forum in the United States

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Results of Topic Modeling of New Articles in the South Korea

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Results of Topic Modeling of New Articles in the United States

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