텍스트 마이닝 방법을 이용한 학술지 특성 분석 - ‘경관과 지리’를 대상으로- = Analyzing the Characteristics of Academic Journal Using Text Mining Methods

다국어 초록 (Multilingual Abstract)

This study looks at how well the names of journals reflect the nature of the articles published in them. For the analysis of the journals’ characteristics, I use topic analysis, a data analysis method for text mining. To do this, I performed topic modeling using keywords from 761 articles published in the recently renamed journal Landscape and Geography. The analysis yielded seven significant subtopics. The most influential topic was “landscape,” which is related to the journal’s identity and is the subject of concurrent research. “Tourism” formed a single topic, and geography was derived as a sub-disciplinary categorization of geography, such as “cities,” “landforms,” “geography education,” etc. Our results show that it is possible to characterize journals using text-mining techniques.