고유번호: http://www.riss.kr/link?id=A106287721

제목: 빅데이터와 고전문학 연구방법론

저자명: 김바로 (Kim Baro), 강우규(Kang Wookyu)

학술지명: 語文論集

권호사항: 제78권 

수록면: 7-39

발행처: 중앙어문학회

발행년도: 2019. 

등재정보: KCI 

기타사항: 

초록: 

This paper examines various digital methodologies that can be used in classical literature research, and presents the necessity and direction of big data and classical literature convergence research. Using digital analysis techniques, such as a language analysis method, network analysis method, and spatial analysis method, a new study direction of limited classical literary text can be suggested. However, existing digital analysis techniques cannot be applied to classical literary texts, and new digital analysis techniques optimized for classical literary texts need to be developed. In this situation, the direction of big data and classical literature convergence research is to build a sophisticated data model to produce meaningful knowledge. In addition, for classical literature to appreciate its own value, it is necessary to carry out continuous research and make public use plans. In this respect, we call for researchers' interest in classical literature, big data convergence research, and active sharing of classical literary data.