본 연구에서는 사회과학적 문학연구에 대한 통합 학문연구로서의 의의 와 가능성을 탐색하였고, 이를 기반으로 연구 방법론적 요건을 갖춘 사 회과학적 문학작품 분석모델을 개발하고자 하였다. 통합 학문연구의 영 역을 지속적으로 넓혀가고 있는 21세기는 단순한 학술연구에 그치지 않 고 근대 분과학문의 영역을 아우르며 새롭고 종합적인 학문을 탐색해 나 가고 있다. 따라서 본 연구를 통해 개발된 SSLA모델(Social Science Literature Analysis Model)은 사회과학연구의 새로운 분야로서 더욱 탄력을 받게 될 것이다. 또한 문학작품에서의 복잡한 사회현상을 보다 심층적이고 과학적으로 규명함으로써 연구 패러다임의 다각화 및 경계 없는 통합 학문연구의 토대를 확보할 수 있다는 점에서 본 연구는 매우 의의가 있다.
As many existing research fields are matured academically, researchers have encountered numbers of academic, social and other problems that cannot be addressed by internal knowledge and methodologies of existing disciplines. Earlier, pioneers of researchers thus are following a new paradigm that breaks the boundaries between the prior disciplines, fuses them and seeks new approaches. Moreover, developed countries including Korea are actively supporting and fostering the convergence research at the national level. Nevertheless, there is insufficient research to analyze convergence trends in national R&D support projects and what kind of content the projects mainly deal with. This study, therefore, collected and preprocessed the research proposal data of National Research Foundation of Korea, transforming the proposal documents to term-frequency matrices. Based on the matrices, this study derived detailed research topics through Latent Dirichlet Allocation, a kind of topic modeling algorithm. Next, this study identified the research topics each proposal mainly deals with, visualized the convergence relationships, and quantitatively analyze them. Specifically, this study analyzed the centralities of the detailed research topics to derive clues about the convergence of the near future, in addition to visualizing the convergence relationship and analyzing time-varying number of research proposals per each topic. The results of this study can provide specific insights on the research direction to researchers and monitor domestic convergence R&D trends by year.