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http://dx.doi.org/10.14699/kbiblia.2019.30.2.189

Analyzing the Study Trends of 'Sense of Place' Using Text Mining Techniques  

Lee, Ina (연세대학교 정보대학원)
Kim, Hea-Jin (국립공주대학교 문헌정보교육과)
Publication Information
Journal of the Korean BIBLIA Society for library and Information Science / v.30, no.2, 2019 , pp. 189-209 More about this Journal
Abstract
Main Path Analysis (MPA) is one of the text mining techniques that extracts the core literature that contributes knowledge transfer based on citation information in the literature. This study applied various text mining techniques to abstract of the paper related with sense-of-place, which is published at Korea and abroad from 1990 to 2018 so that could discuss in a macro perspective. The main path analysis results showed that from 1990, overseas research on sense-of-place has been carried out in the order of personal identity, public land management, environmental education and urban development-related areas. Also, by using the network analysis, this study found that sense-of-place was discussed at various levels in Korea, including urban development, culture, literature, and history. On the other hand, it has been found that there are few topic changes in international studies, and that discussions on health, identity, landscape and urban development have been going on steadily since the 1990s. This study has implications that it presents a new perspective of grasping the overall flow of relevant research.
Keywords
Word co-occurrence Network; Citation Analysis; Sense of Place; Place; Main Path Analysis; Text Mining;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
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