관광분야에서 SNS 빅데이터의 활용 방법 모색 = 관광 정보 검색 키워드 분석을 중심으로

다국어 초록 (Multilingual Abstract)

This study suggests analytic method using SNS Big Data in tourism studies. To get the result of analysis, four keywords such as ‘Pension’, ‘Homestay’, ‘Gyeongbokgung Palace’, and ‘Bijin Island’ were used to analyze SNS data. The data posted on SNS in December of 2013 were analyzed by using the Social metrics of the Daumsoft Inc. Theresults show that the key words are heavily linked among other key words. For example, the first key word ‘Pension’was related to ‘Travel’, ‘Picture’, ‘Nice’, ‘Sea’ and ‘Family’. The second key word ‘Homestay’ was related to ‘Travel’, ‘Lodge’, ‘Hotel’, ‘Morning’, and ‘Reservation’. The third key word ‘Gyeongbokgung Palace’ was relatedto ‘Seoul’, ‘Gyeongbokgung Place station’, ‘Picture’, ‘Culture’, and ‘Hotel’. The last key word ‘Bijin Island’ wasrelated to ‘Tongyoung city’, ‘Sea’, ‘Island’, ‘Beautiful’, and ‘Ship’. The results suggest some important marketingimplications on both research and practice.