Mining of risk perception dimensions of chinese tourists’ outbound tourism based on word vector method

HIGHLIGHTS

• who: ufeffCaihuaufeff ufeffYuufeff and ufeffYilinufeff ufeffZhaoufeff from the Guilin University of Technology, China have published the research: Mining of risk perception dimensions of Chinese touristsu2019 outbound tourism based on word vector method, in the Journal: (JOURNAL) of 22/Dec/2022
• what: In the experiment, TSNE method is used to reduce the training models of different dimensions to 2-dimensional space, and the clustering effect of the trained models under different dimensions is observed. This study shows that Chinese outbound tourists have given careful consideration to property risks, but they might also experience heinous crimes like . . .
  

   

  

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