데이터 분석 기법을 이용한21세기 한문학 연구동향 분석-『한국한문학연구』를 중심으로-

Abstract

This research provides the research trend analysis on Sino-Korean literature of the twenty-first century through utilizing Netminer. The analysis in this research is conducted with the order of frequency-topic modeling-centrality. The findings of this research are as follows: the highest frequencies of keywords are appeared with orders of ‘exchange’, ‘figure’, ‘aesthetics’, ‘late Joseon Dyansty’, and so on. These keywords identify major research objects of researchers’ interests in Sino-Korean literature. Topic modeling method in this research categorizes topics of examined works with ‘book publication in relation to East Asia’, ‘expansions of narratives and excursions’, ‘proses and tributes to women’, ‘Kyunghak, figures and theories’, ‘aesthetics in poetries written in Chinese characters and Dohak’, and ‘exchange and travel literature of envoys’. Through applying the topic modeling method, this research finds main research themes of Sino-Korean literature of the twenty-first century. Furthermore, it also shows how keywords identified through frequency analysis can be turned into research themes. The centrality analysis identifies ‘proses’, ‘Ming Dynasty’ ‘figures’ as key concepts. Additionally, this research also provides changes of keywords and research themes over time. In conclusion, this research finds that research objects and themes of Sino-Korean literature of the twenty-first century have been continued and expanded those of the twentieth century. Furthermore, it finds that the fact that main research themes focus on acceptance, creation and circulation of Sino-Korean literature show researchers’ great efforts to analyze realities, social contexts and enjoyments of Sino-Korean literature. Along with these findings, it suggests to expand research objects, create networks with other academic disciplines and increase accessibility to research objects.