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Crisisonomy Vol.18 No.1.jpg
KCI등재 학술저널

Analysis of Unstructured Data in Unification Education Policy

DOI : 10.14251/crisisonomy.2022.18.1.175
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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.

Ⅰ. Introduction

Ⅱ. Literature Review

Ⅲ. Text Mining Analysis of Unification Education

Ⅳ. Discussion and Conclusion

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