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http://dx.doi.org/10.14699/kbiblia.2017.28.1.191

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

Park, Jinkyeun (연세대학교 문헌정보학과)
Kim, Taekyoun (연세대학교 문헌정보학과)
Song, Min (연세대학교 문헌정보학과)
Publication Information
Journal of the Korean BIBLIA Society for library and Information Science / v.28, no.1, 2017 , pp. 191-207 More about this Journal
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
Textmining; Topic Modeling; Entitymetrics; Dong-ju Yun; Co-author Citation Analysis; LDA;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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