基于网络评论的养生旅游数据挖掘与分析——以世界长寿之乡巴马为例
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摘要
随着互联网信息技术和旅游业的快速发展,网络评论在旅游业的地位也越来越重要。以养生旅游为研究视角,借助于ROST软件和Python语言对利用网络爬虫技术获取的网络评论数据集进行挖掘。研究结论显示游客对巴马养生旅游总体上倾向于满意和赞美;游客对巴马旅游品牌虽有一定的认识,但是没有成为游客关注的核心;负面情感倾向的评论数量占总体的17.63%。针对以上结论,分别从巴马养生旅游业的升级发展、与游客的互利共赢以及旅游品牌的推广三个方面提出了促进巴马养生旅游业发展的建议。
With the rapid development of technology and the tourism industry, Internet comments is becoming more and more important. The network comment data set obtained by using the web crawler technology is mined by means of the ROST software and the Python language.The conclusion shows that the tourists tend to be satisfied and praise for Bama health tourism and tourists have a certain understanding of the Bama tourism brand, but it has not become the core of tourists' attention; the number of comments on negative sentiment tends to be 17.6% of the total. In view of the above conclusions, the recommendations for promoting the development of Bama's health tourism are proposed from the aspects of the upgrading and development of Bama,s health tourism, mutual benefit and win-win with tourists and the promotion of tourism brands.
With the rapid development of technology and the tourism industry, Internet comments is becoming more and more important. The network comment data set obtained by using the web crawler technology is mined by means of the ROST software and the Python language.The conclusion shows that the tourists tend to be satisfied and praise for Bama health tourism and tourists have a certain understanding of the Bama tourism brand, but it has not become the core of tourists' attention; the number of comments on negative sentiment tends to be 17.6% of the total. In view of the above conclusions, the recommendations for promoting the development of Bama's health tourism are proposed from the aspects of the upgrading and development of Bama,s health tourism, mutual benefit and win-win with tourists and the promotion of tourism brands.
引文
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