Earticle

초록

영어

The goal of this paper is to investigate changes in North Korea’s domestic and foreign policies through automated text analysis over North Korean new year addresses, one of most important and authoritative document publicly announced by North Korean government. Based on that data, we then analyze the status of text mining research, using a text mining technique to find the topics, methods, and trends of text mining research. We also investigate the characteristics and method of analysis of the text mining techniques, confirmed by analysis of the data. We propose a procedure to find meaningful tendencies based on a combination of text mining, cluster analysis, and co-occurrence networks. To demonstrate applicability and effectiveness of the proposed procedure, we analyzed the inaugural addresses of Kim Jung Un of the North Korea from 2017 to 2019. The main results of this study show that trends in the North Korean national policy agenda can be discovered based on clustering and visualization algorithms. We found that uncovered semantic structures of North Korean new year addresses closely follow major changes in North Korean government’s positions toward their own people as well as outside audience such as USA and South Korea.

목차

Abstract
1. 서론
2. 선행연구
3. 연구 방법
3.1 연구 수행 절차
3.2 데이터 수집과 전 처리
3.3 분석 방법
4. 북한 지도자 신년사 및 연설문 분석결과
4.1 2017년 북한지도자 신년사 분석
4.2 2018년 북한 지도자 신년사 분석
4.3 2019년 신년사 분석
4.4 2019년 4월 최고인민회의 14기 회의 연설문 분석
4.5 종합 트렌드 분석
5. 결론
References

키워드

저자

• 박철수 [ Chul-Soo Park | Professor, Dept. of Business Adminstration, Halla University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005