Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Implementation of smart chungbuk tourism based on SNS data analysis

SNS 데이터 분석을 통한 스마트 충북관광 구축

  • Cho, Wan-Sup (Department of Management Information Systems, Chungbuk National University) ;
  • Cho, Ah (Department of Business Data Convergence, Chungbuk National University) ;
  • Kwon, Kaaen (Department of Business Data Convergence, Chungbuk National University) ;
  • Yoo, Kwan-Hee (Department of Software, Chungbuk National University)
  • 조완섭 (충북대학교 경영정보학과) ;
  • 조아 (충북대학교 비즈니스데이터융합학과) ;
  • 권가은 (충북대학교 비즈니스데이터융합학과) ;
  • 류관희 (충북대학교 소프트웨어학과)
  • Received : 2015.02.23
  • Accepted : 2015.03.24
  • Published : 2015.03.31
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Abstract

With the development of mobile devices and Internet, information exchange has actively been made through SNS and Blogs. Blogs are widely used as a space where people share their experience after their visit to tourist attractions. We propose a method of recommending associated tourist attractions based on tourists' opinions using issue analysis, association analysis, and sentimental analysis for various online reviews including news in order to help to develop tour products and policies. The result shows that north area of Chungbuk province has been selected as issue attractions, and associated attractions/keywards have been identified for given well-known attraction. Positive/negative opinion for review texts has been analyzed and user can grasp the reason for the sentiments. Multidimensional analysis technique has been integrated to derive additional sophisticated insights and various policy proposal for smart tourism.

SNS 등 온라인에 쏟아지는 고객의 감성분석을 활용하여 마케팅 등 다양한 분야에서 성과를 내고 있다. 고객의 제품사용 후기 데이터를 수집하여 신제품의 마케팅 전략과 제품개선 방안을 도출하고 있으며, 선거철에는 유권자들의 마음을 실시간으로 읽어서 선거 전략을 수립하고 있다. 본 연구에서는 온라인 상에서 충북관광에 관한 글들을 수집하여 텍스트 마이닝 기법을 활용하여 분석함으로써 충북관광을 위한 홍보전략과 관광진흥 정책을 수립하는 방안을 제시한다. 사용된 데이터는 주요 블로그, 뉴스, 관광관련 공공 데이터 등이며, 충북전역의 관광지를 대상으로 한다. 분석결과 충청북도 북부지역의 관광지들이 주요 이슈 관광지로 나타났으며, 관광지별로 연관 관광지와 연관 키워드들이 분석되었다. 또한, 주요 관광지별 감성분석을 통하여 긍/부정 현황과 그 원인을 파악할 수 있도록 하였다. 특히 이들 분석에 다차원 분석 기법을 연계함으로써 관광관련 텍스트 정보를 다각도로 분석하여 전략을 수립하는데 활용할 수 있도록 하였다.

Keywords

References

  1. Cho, W. S. (2014). Demand Survey of tourism administrative and policy suggestion using Big Data, Research Report, Chungbuk National University & Chungcheongbukdo, Korea.
  2. Do, H. Y., Lee, A. J. and Lee, C. W. (2013a). The study of restaurant service quality, customer satisfaction and nationality by big-data analysis. Journal of Food Service Management Society of Korea, 16, 49-70.
  3. Do, H. Y. and Ryu, K. S. (2013b). The effect of restaurant service quality and customer satisfaction recommendation behavior by big-data analysis. Journal of Food Service Management Society of Korea, 16, 233-255.
  4. Kong, H. S. and Song, E. J. (2013). A study on hotel CRM(Customer Relationship Management) using big data and security. Convergence Security Journal, 13, 69-75.
  5. Lee, Y. J. and Yoon, J. H. (2014). A study on utilizing SNS big data in the tourism studies : Based on an analysis of key words for tourism information search. International Journal of Tourism and Hospitality Research, 28, 5-14.
  6. Lee, Y. J., Jung, H. K. and Bu, S. H. (2010). Evaluation of the publicity on eTourism information : Focused on the portal site 'N'. Journal of Tourism & Leisure Research, 22, 389-408.
  7. Moon, J. W. (2013). The utilization of ICT and implication for development of tour service: Based on case analysis of Korea and other countries. Korea Information Society Development Institute, 25, 1-35.

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