텍스트 마이닝을 활용한 블록체인 이슈 분석 : 한국과 미국

• 영문명: A Text Mining Approach to the Comparative Analysis of the Blockchain Issues : South Korea and the United States
• 발행기관: 한국IT서비스학회
• 저자명: 손새아(Saeah Shon) 전병진(Byeong-Jin Jeon) 김희웅(Hee-Woong Kim)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제18권 제1호, 45~61쪽, 전체 17쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2019.03.30

영문 초록

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.

목차

1. 서 론

2. 개념적 배경

3. 연구 방법

4. 연구 결과

5. 연구 결과 토의 및 시사점

키워드

Blockchain Text Mining Topic Modeling South Korea the United States Industry Policy