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A Study on Development of a Tourism Course in Seosan using Social using Media Big Data

  • Ha, Yeon-Joo (Graduate School of Smart Convergence, Department of Tourism and Food Industry, Kwangwoon University) ;
  • Park, Jong-Hyun (Graduate School, Department of Immersive Content Convergence, Kwangwoon University) ;
  • Yoo, Kyoungmi (Department of Tourism Management, Institute of Information Technology, Kwangwoon University) ;
  • Moon, Seok-Jae (Institute of Information Technology, Kwangwoon University) ;
  • Ryu, Gihwan (Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University)
  • Received : 2021.11.03
  • Accepted : 2021.11.10
  • Published : 2021.12.31

Abstract

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.

Keywords

References

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