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Relevant Analysis on User Choice Tendency of Intelligent Tourism Platform under the Background of Text mining

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2019, 24(9), pp.119-125
  • DOI : 10.9708/jksci.2019.24.09.119
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : June 17, 2019
  • Accepted : July 8, 2019
  • Published : September 30, 2019

Zi-Yang Liu 1 Kai Liao 2 Zi Han Guo 2

1경기대학교 글로벌비즈니스학과
2경기대학교

Accredited

ABSTRACT

The purpose of this study is to find out the relevant factors of the choice tendency of tourism users to Intelligent Tourism platform through big data analysis, which will help enterprises to make accurate positioning and improvement according to user information feedback in the tourism market in the future, so as to gain the favor of users' choice and achieve long-term market competitiveness. This study takes the Intelligent Tourism platform as the independent variable and the user choice tendency as the dependent variable, and explores the related factors between the Intelligent Tourism platform and the user choice tendency. This study make use of text mining and R language text analysis, and uses SPSS and AMOS statistical analysis tools to carry out empirical analysis. According to the analysis results, the conclusions are as follows: service quality has a significant positive correlation with user choice tendency; service quality has a significant positive correlation with tourism trust; Tourism Trust has a significant positive correlation with user choice tendency; service quality has a significant positive correlation with user experience; user experience has a significant positive correlation with user choice tendency Positive correlation effect.

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