Big Data Research ›› 2017, Vol. 3 ›› Issue (6): 93-101.doi: 10.11959/j.issn.2096-0271.2017064

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Analysis of tourists' attitude for ancient towns based on text mining

Jiayu FAN   

  1. Shandong University of Finance and Economics,Jinan 250014,China
  • Online:2017-11-20 Published:2017-12-08

Abstract:

The tourists' attitudes and the potential problems coming along with tourism projects were mainly analyzed.Thousands of comments aiming at five different ancient China towns coming from website were collected.Then with text mining,terms frequency was counted,and the hot topics were analyzed.After that,the scores were received with sentiment analysis.Based on the results from sentiment analysis,then the analysis of variance about possible causes influenced travelers' attitudes was given.Ultimately the fuzzy comprehensive evaluation model was built.The result is able to give references for creating a better system of ancient towns traveling program.

Key words: text mining, traveling of ancient towns, sentiment analysis, factor analysis, fuzzy comprehensive evaluation model, analysis of variance

CLC Number: 

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