Analysis of Unstructured Data in Unification Education Policy

• 발행기관: 위기관리 이론과 실천
• 간행물 정보: 『한국위기관리논집』Crisisonomy Vol.18 No.1, 175~188쪽, 전체 14쪽
• 주제분류: 사회과학 > 행정학
• 파일형태: PDF
• 발행일자: 2022.01.31

영문 초록

As unification and North Korea-related policy change depend on the government, this study attempts to classify the period using a computational method, excluding subjective judgment. In the text mining analysis of the “Unification Education Guidelines” from 1986 to 2016, the words that appeared most frequently were “unification”, “us”, “nation”, “peace”, “cooperation”, “exchange”, “effort”, “understanding”, “residents”, “reconciliation”, and “national community.” Other words expressed the attitude required for unification with North Korea, such as “agreement”, and “one.” These words’ usage fluctuated, but they appeared consistently from 1986 to 2016. Thus, there have been subtle changes in unification education policy as evidenced by different em emphases and added parts or deleted content, but the overarching themes have remained relatively consistent over time.

목차

Ⅰ. Introduction

Ⅱ. Literature Review

Ⅲ. Text Mining Analysis of Unification Education

Ⅳ. Discussion and Conclusion

키워드

unification education policy unstructured data text mining computational methods keyword analysis