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

Zi-Yang Liu (유자양); Kai Liao; Zi Han Guo

doi:10.9708/jksci.2019.24.09.119

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.

KEYWORDS

Big data, Text mining, R language, Intelligent tourism, platform, User Choice Tendency

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* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

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

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

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

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.