고유번호: http://www.riss.kr/link?id=A106238958 제목: 토픽모델링과 의미연결망분석을 활용한 한국 예술경영 연구의 동향 변화 - 1988년부터 2017년까지 국내 학술논문 분석을 중심으로 - 저자명: 황서이 (Hwang SeoI), 박양우 (Park Yangwoo) 학술지명: 예술경영연구 권호사항: 제50권 수록면: 5-31 발행처: 한국예술경영학회 발행년도: 2019. 등재정보: KCI 기타사항: 주저자=황서이, 교신저자=박양우
초록: The main purpose of this study was to use Deep Learning based Topic Modeling and Semantic Network Analysis to examine research trend of arts management-related papers in korea. For this purpose, research subjects such as ‘The Journal of Cultural Policy’, ‘The Journal of Cultural Economics’, ‘The Journal of Culture Industry’, ‘The Journal of Arts Management’, and ‘The Journal of Human Content’, which are the registered journal of the National Research Foundation of Korea directly or indirectly related to arts management field. From 1988 to 2017, a total of 2,110 domestic journals' signature, abstract, and keyword were analyzed. We tried Big Data analysis such as Topic Modeling and Semantic Network Analysis to examine changes in trends in arts management.
The analysis program used open software R and standard statistical software SPSS. Based on the results of the analysis, the implications and limitations of the study and suggestions for future research were discussed. And the potential for development of convergent research such as Arts & Artificial Intelligence and Arts & Big Data. | 
