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Analysis of Smart Tourism Issues Using Social Big Data Analysis

  • Se-won Jeon (Department of Immersive Content Convergence, Graduate School, Kwangwoon University) ;
  • Gi-Hwan Ryu (Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University)
  • Received : 2024.08.06
  • Accepted : 2024.08.18
  • Published : 2024.09.30

Abstract

Smart tourism enhances communication between tourists and residents, improves quality of life, increases the utilization of local tourism resources, and helps manage cities efficiently. This paper analyzes recent issues and trends in smart tourism, derives key factors for activating smart tourism based on the analyzed data, and conducts research on promoting smart tourism. Using smart tourism as a keyword, data was collected through Textom. The collection scope included a total of 33,588 pieces of data related to smart tourism over the past year, from May 1, 2023, to May 1, 2024. The data was analyzed using text mining and social network analysis techniques. Through this analysis, the paper suggests directions for the development of smart tourism, enabling the activation of local tourism and effective urban management.

Keywords

References

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