빅데이터 분석을 통한 다크투어리즘 인식 규명 연구

초록

The purpose of study was to look at the tourist’s perception of dark tourism by big data. Data were collected from Daum, Naver and Goggle as analysis social channels. This study utilized semantic network analysis methods. The 2,451 words were collected related in keyword of ‘dark tourism’ for big data research through social network analysis. The search period was limited to three years from Dec. 25, 2015 to Dec. 24, 2018. Data text mining was processed through textom and Krkwic programs for social network analysis. Keywords for social network analysis were drawn by UCINET and Netdraw through data mining for programs such as textom and Krkwic programs. First, various keywords related in dark tourism such as ‘history’, ‘trip’, ‘jeju’, ‘tragedy’, ‘site’, ‘war’, ‘disaster’, ‘lesson’, ‘place’, ‘massacre’, ‘disaster’, ‘tour’, ‘memory’, ‘book’, ‘tourism,‘ ’pain‘ were extracted. Second, as a result of CONCOR group analysis, total five big groups were formed. Confidently, this study discussed the implications of a marketing strategy for dark tourism as a result of the semantic network analysis study.

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