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

• 应用 • 上一篇    下一篇

基于文本挖掘的游客对古镇旅游态度的分析

范珈瑜   

  1. 山东财经大学,山东 济南 250014
  • 出版日期:2017-11-20 发布日期:2017-12-08
  • 作者简介:范珈瑜(1995-),女,山东财经大学统计学专业本科生,主要研究方向为应用统计学、大数据应用。

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

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。

关键词: 文本挖掘, 古镇旅游, 情感分析, 因子分析, 模糊综合评价模型, 方差分析

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

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