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The Korea Contents Association (한국콘텐츠학회)
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Analysis of Social Network Service Data to Estimate Tourist Interests in Green Tour Activities

  • Rah, HyungChul (Graduate School BigData Convergence Chungbuk National University) ;
  • Park, Sungho (Agricultural Bigdata Division Rural Development Administration) ;
  • Kim, Miok (Agricultural Bigdata Division Rural Development Administration) ;
  • Cho, Youngbeen (Agricultural Bigdata Division Rural Development Administration) ;
  • Yoo, Kwan-Hee (Department of Computer Science Chungbuk National University)
  • Received : 2018.04.06
  • Accepted : 2018.08.13
  • Published : 2018.09.28
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Abstract

Social network service (SNS) data related to green tourism were used to estimate preferred tour sites and users' interests. Keywords related with green tour activities were employed to search the SNS data. SNS data were collected from Korean blogs such as Naver and Daum from June $1^{st}$ to August $31^{st}$ between 2015 and 2017 using text-mining solution. During the study period, seven hundred and five posts were analyzed. Associated words that frequently co-occurred with keywords were classified into different categories depending on the nature of associated words. Associated words included swimming pools and camping sites (location); experience and swimming pools (attribute); and water play and culture (culture/leisure). Our data suggest that SNS users with experience of green tourism in Korea exhibited interest in green tourism with swimming pools, camping sites, experience, water play and/or culture rather than particular popular sites. Based on the findings, it is recommended that preferred facilities such as swimming pools should be provided at green tourism sites to meet the users' needs and to facilitate green tourism.

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