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

Jiayu FAN

doi:10.11959/j.issn.2096-0271.2017064

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

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- Analysis of tourists' attitude for ancient towns based on text mining
- Big Data Research Vol. 3, Issue 6, Pages: 2017064(2017)
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- DOI：10.11959/j.issn.2096-0271.2017064
  CLC： TP391
- Online First：2017-11，
  
  Published：20 November 2017
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Jiayu FAN. Analysis of tourists' attitude for ancient towns based on text mining[J]. Big Data Research, 2017, 3(6): 2017064.
DOI：

Jiayu FAN. Analysis of tourists' attitude for ancient towns based on text mining[J]. Big Data Research, 2017, 3(6): 2017064. DOI： 10.11959/j.issn.2096-0271.2017064.

摘要

围绕游客的反馈，分析古镇旅游项目存在的问题及游客的态度。选取了5个各具特色的古镇——甲居藏寨、西江千户苗寨、周庄古镇、黄姚古镇、西塘古镇作为参考。利用大量的评论进行文本挖掘、统计词频，分析热门话题。再运用情感分析得到评分，进而分析游客的好感度及可能影响评价的因素。最后，结合因子分析建立综合模糊评分模型，以计算古镇旅游的最终得分。研究结果可作为参考，以此优化改善古镇旅游体验，保护历史文明遗址。

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.

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references

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