본 연구의 목적은 관광분야에서 SNS 빅데이터 분석 방법을 제안하는 것이다. 분석을 위해 다음소프트의 소셜매트릭스를 활용하여 2013년 12월 한 달 동안 SNS에 게시된 자료를 ‘펜션’, ‘민박’, ‘경복궁’, ‘비진도’의 4개 검색 키워드로 분석하였다. 분석결과 ‘펜션’ 키워드는 ‘여행’, ‘사진’, ‘좋다’, ‘바다’, ‘가족’, ‘민박’ 키워드는 ‘여행’, ‘숙소’, ‘호텔’,‘아침’, ‘예약’, ‘경복궁’ 키워드는 ‘서울’, ‘경복궁역’, ‘사진’, ‘문화’, ‘호텔’, ‘비진도’ 키워드는 ‘통영’, ‘바다’, ‘섬’, ‘아름다운’, ‘배’ 키워드와 연관성이 높게 나타났다. 연구결과를 통해 숙박시설과 관광지에 대한 마케팅적 시사점을 제안하였다.
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.