본문 바로가기
  • 학술저널

표지

한장헌 조윤희

  • 2018.09
  • 385 - 399(15 pages)

DOI : 10.31336/JTLR.2018.09.30.9.385

이용수 196

내서재 2

DBpia에서 서비스 중인 논문에 한하여 피인용 수가 반영됩니다. 내서재에 논문을 담은 이용자 수의 총합입니다.

초록·키워드 목차

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. #소셜 빅데이터 분석(Social Big Data Analysis) #스키(Ski) #의미 연결망 분석(Semantic Network Analysis) #텍스트 마이닝(Textmining)

Abstract
Ⅰ. 서론
Ⅱ. 선행연구 고찰
Ⅲ. 연구방법
Ⅳ. 연구결과
Ⅴ. 결론
참고문헌

저자의 논문

DBpia에서 서비스 중인 논문에 한하여 피인용 수가 반영됩니다.
Insert title here
논문의 정보가 복사되었습니다.
붙여넣기 하세요.