Entitymetrics Analysis of the Research Works of Dong-ju Yun using Textmining

Park,, J. , Kim,, T. , & Song,, M. (2017). Entitymetrics Analysis of the Research Works of Dong-ju Yun using Textmining. 한국비블리아학회지, 28(1), 191-207, https://doi.org/10.14699/kbiblia.2017.28.1.191

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Abstract

This paper employs entitymetrics analysis on the research works of Dong-ju Yun. He was a Korean poet who was studied by many researchers on his works, religion and life. We collected 1,076 papers about Dong-ju Yun and conducted various approaches including co-author citation analysis, topic modeling analysis to identify the topic trend in the study of Dong-ju Yun. Also we extracted entities like person's name and literature's title from abstract to examine the relationship among them. The result of this paper enables us to objectively identify the topic trend and infer implicit relationships between key concept associated with Dong-ju Yun based on text data. Moreover, we observed sub-research topics such as life, poem, aesthetic existence, comparative literature, literary translation, and religious beliefs. This paper shows how entitymetrics can be utilized to study intellectual structures in the humanities.

keywords: 텍스트마이닝, 토픽모델링, 개체계량학, 윤동주, 저자동시인용

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Article Contents

Vol.28 No.1

Entitymetrics Analysis of the Research Works of Dong-ju Yun using Textmining

Abstract

한국비블리아학회지