Abstract
The purpose of study is to suggest perception of ski consumers by big data of social media. Naver and Daum were selected as analysis channels. The 3,697 words were extracted as through social network analysis with a keyword of ‘ski’ for big data research. The period was limited for 3 years from January 1, 2015 to December 31, 2017. The data were collected and text mining by textom and Krkwic program for social network analysis, UCINET was to visualize the network between words connected to the Keyword. As a results, first, various keywords recognized by consumers such as ‘lesson’, ‘ski resort’, ‘winter’, ‘camp’, ‘shop’, ‘board’, ‘resort’, ‘pants’, ‘rental’, ‘konjiam’, ‘kids’, ‘season’, ‘vivaldi’, ‘muju’, ‘trip‘, ’sales‘, ’park‘, ’price’ were extracted. Second, as the result of group analysis, totally 5 big groups were formed. The social media big data analysis studies discussed the implication of ski industry development/ strategies.
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