| 摘要: |
| 随着旅游网络平台不断的普及，研究和评价旅游目的地已逐渐成为游客选择参考的重要依据；针对重庆旅游业快速发展的背景，选取重庆市5个热门景点——磁器口、洪崖洞、长江索道、武隆天生三桥和金佛山2015—2018年在携程旅行网、马蜂窝、百度旅游、美团网上的游客点评数据，利用文本挖掘法，分析游客对景点整体形象以及情感态度感知的共性和差异，建立模糊综合评价法对重庆旅游进行综合分析；结果发现：游客对于重庆旅游景点持一般满意态度，在商业化、排队时间长还有管理方面有很多意见，未来还有很大提升的空间，并进一步为提高服务水平、避免过度开发提出相关建议。 |
| 关键词: 旅游景点 文本挖掘 大数据 |
| DOI： |
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| Research on Tourism Evaluation in Chongqing Based on Text Mining |
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ZHANG Lu
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| Abstract: |
| With the continuous popularization of tourism platform, research and evaluation on tourism destinations have gradually become the important basis for the tourists to choose reference. According to rapid development background of Chongqing’s tourism industry, this paper chooses such five hot tourism spots as Ciqikou, Hongyandong, Yangtze River Cableway, Wulong Tiansheng Third Bridge and Jinfo Mountain in the visitors’ evaluation data of the Ctrip Travel network, Ma Honeycomb, Baidu Tourism, and Meituan.com from 2015 to 2018 to analyze the commonality and the difference in the tourists’ perception on overall image and emotional attitude by text mining, and sets up fuzzy comprehensive evaluation method to comprehensively analyze Chongqing tourism. The results show that the tourists are generally satisfied with Chongqing’s tourism attractions, that there are many dissents in the perspective of management such as commercialization, and long time queue, that Chongqing’s tourism has big space to be raised in the future, and that the tourists propose the related suggestions such as further promotion of service level and avoiding excessive development. |
| Key words: tourism attraction text mining big data |
