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http://dx.doi.org/10.9708/jksci.2019.24.09.119

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

Liu, Zi-Yang (Department of Global Business Graduate School, Kyonggi University)
Liao, Kai (Department of Global Business Graduate School, Kyonggi University)
Guo, Zi-Han (Department of Global Business Graduate School, Kyonggi University)
Publication Information
Journal of the Korea Society of Computer and Information / v.24, no.9, 2019 , pp. 119-125 More about this Journal
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.
Keywords
Big data; Text mining; R language; Intelligent tourism; platform; User Choice Tendency;
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