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A comparison of TF and TF-IDF analysis for trends of blockchain in health and welfare
Journal of the Korean Data & Information Science Society 2019;30:1025-36
Published online September 30, 2019;  https://doi.org/10.7465/jkdi.2019.30.5.1025
© 2019 Korean Data and Information Science Society.

Eun-A Choi1 · Ye-Eun Han2 · Sangin Lee3 · Miae Oh4

12Department of Statistics, Chungbuk National University
3Department of Information and Statistics, Chungnam National University
4Korea Institute for Health and Social Affairs
Correspondence to: Head, Center for Research on Big Data Information, KIHASA, Sejong 30147, Korea. E-mail: miaeoh@kihasa.re.kr.miaeoh@kihasa.re.kr
Received August 17, 2019; Revised September 12, 2019; Accepted September 17, 2019.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The blockchain is one of the new technologies of the 4th Industrial Revolution era, which is to be carried out as a national R & D project by Seoul and local governments. Blockchain technology has been well known along with bitcoin, but there are many fields that can actually be utilized. In the field of health and welfare, the government can improve the efficiency of policy effects by utilizing blockchain technology, which is one of the new technologies. In this study, blockchain keywords and health-welfare keyword related Hangul documents were collected and collected to make a Document- Term Matrix in order to find out how blockchain technology is being discussed in health and welfare fields. Then, the TF and TF-IDF values were obtained and the top 100 words were extracted from each. The purpose of this study was to identify trends in the use of current block chain technology in the health and welfare fields through corresponding analysis and CONCOR analysis using extracted keywords.
Keywords : Blockchain, CONCOR, correspondence analysis, health, trends, welfare.