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Study on Constructing a core dictionary and trend analysis of North Korea using Text-mining
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텍스트마이닝을 이용한 북한 동향 핵심단어 사전 구축 및 분석

논문 기본 정보

Type
Proceeding
Author
이창용 (국방대학교) 진효원 (공군본부) 문호석 (국방대학교)
Journal
Korean Institute Of Industrial Engineers 대한산업공학회 춘계공동학술대회 논문집 2016년 대한산업공학회 춘계공동학술대회 논문집 [4개 학회 공동개최]
Published
2016.4
Pages
4,817 - 4,822 (6page)

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Study on Constructing a core dictionary and trend analysis of North Korea using Text-mining
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Research history (2)

2016

Study on Constructing a core dictionary and trend analysis of North Korea using Text-mining
이창용 ,  진효원 ,  문호석 한국경영과학회 학술대회논문집 2016.04 Proceeding
Study on Constructing a core dictionary and trend analysis of North Korea using Text-mining
이창용 ,  진효원 ,  문호석 대한산업공학회 춘계공동학술대회 논문집 2016.04 Proceeding
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Abstract· Keywords

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본 연구는 텍스트 마이닝을 이용하여 북한 동향과 관련된 핵심단어 사전을 구축하고 핵심단어들을 군집화하여 북한 도발과 연관된 북한 동향을 분석하였다.
북한 동향과 관련된 문서로는 매월 정부에서 발간하고 있는 월간북한동향을 이용하였고, 2010년부터 2015년까지 72개월의 72개 문서에서 발생 빈도수가 높은 67개의 단어로 이루어진 핵심단어 사전을 구축하였다. 이 핵심단어 사전으로 Term-Document 행렬을 구성하고, 군집분석을 통해 핵심단어들을 유사집단으로 분류하였다. 군집분석 결과 핵심단어들을 3개 집단으로 분류하였고, 분류된 군집의 단어들과 과거 북한의 도발사례와의 연관성을 시계열 분석하고 분류된 군집과 북한 동향 변화를 확인하였다.
시계열 분석결과 군집 1(단어수 31개)에서는 빈도수가 시간이 지날수록 증가하는 경향을 보이는 반면 군집 2와 3(총 단어수 36개)에서는 김정은 집권 이전과 이후에 빈도수의 변동폭이 상대적으로 컸다. 이를 통해 김정은 집권 이후에 군집 2와 3과 관련된 단어들이 많이 사용됨을 알 수 있었고 북한동향이 이러한 단어들과 연관성이 높음을 알 수 있었다.

Contents

Abstract
1. 서론
2. 연구방법
3. 연구결과
4. 결론
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UCI(KEPA) : I410-ECN-0101-2016-530-002682120