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텍스트 마이닝을 활용한 해양수산부 법률 관련 연구동향 분석연구
Using Text Mining for the Analysis of Research Trends Related to Laws Under the Ministry of Oceans and Fisheries 원문보기

海洋環境安全學會誌 = Journal of the Korean society of marine environment & safety, v.28 no.4, 2022년, pp.549 - 566  

황규원 (한국해양과학기술원) ,  이문숙 (한국해양과학기술원) ,  윤소라 (한국해양과학기술원)

초록
AI-Helper 아이콘AI-Helper

최근 인공지능(AI) 기술이 급격하게 발전되고 있으며, 이를 활용한 산업이 점차 확대되고 있다. 또한 사회과학 연구분야에서도 인공지능기술의 텍스트 마이닝을 활용한 분석연구가 활발하게 전개되고 있다. 해양수산부에서 소관하는 법률은 125여개로 해양환경, 수산, 선박, 어촌, 항만 등 다양한 분야에서 제정되었다. 해양수산부 법률을 대상으로 한 연구가 활발히 진행되고 있으며, 양적으로 꾸준하게 증가하고 있다. 이 연구는 해양수산부 법률 관련 연구논문을 대상으로 텍스트 마이닝을 적용하여 국내 연구동향을 분석하였다. 연구방법으로 첫째 텍스트 마이닝의 일종인 토픽 모델링을 수행하여 잠재된 토픽을 파악하였다. 둘째 특정 법률을 주제로 다룬 연구논문의 동시출현 네트워크 분석을 수행하여 주요 주제를 도출하였다. 마지막으로 저자 네트워크 분석을 수행하여 저자 간 사회 연결망을 탐색하였다. 분석결과 시기에 따라 핵심 토픽의 변화를 확인하였으며, 선박안전법, 해양환경관리법 등 법률별 주요 주제를 탐색하였다. 또한 저자 네트워크 분석하여 핵심 연구자를 도출하고, 저자 간 공동연구 성향을 파악하였다. 이를 통해 해양수산부 법률 관련 연구주제의 변화를 탐색하였으며, 향후 연구주제의 다양화와 해양수산 분야 연구의 양적 증가와 질적 성장을 기대한다.

Abstract ▼ AI-Helper 아이콘AI-Helper

Recently, artificial intelligence (AI) technology has progressed rapidly, and industries using this technology are significantly increasing. Further, analysis research using text mining, which is an application of artificial intelligence, is being actively developed in the field of social science re...

주제어

#한국학술지인용색인   #법률   #해양수산부   #연구동향   #텍스트 마이닝  

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