基于在线评论的贵州5A景区形象感知及其优化对策分析

Analysis of image perception and optimization advises of Guizhou 5A scenic-spot based on online comments

通过网络采集软件获取贵州省5A景区的在线评论,采用Python语言计算词频排名前100的高频词汇作可视化展现,同时对所有评论进行正负情感分类,然后通过LDA模型挖掘正负面主题,并将正负面主题与形象感知的分析类目结合,研究发现游客对贵州省5A景区总体评价趋向正面情感,但在娱乐消费、基础设施以及服务管理上存在较为明显的负面情感,最后针对进一步解决这些负面情感提出对应的优化建议和对策。

Through the network acquisition software for Guizhou province 5A scenic-spot online comments in this article,using Python language calculation words frequency top 100 high frequency vocabulary visualization,while all the comments for positive and negative emotion classification,then through the LDA model mining positive and negative themes,and positive and negative themes and image perception analysis categories,the study found that tourists in Guizhou 5A scenic-spot overall evaluation tend to positive emotion,but in the entertainment consumption,infrastructure and service management has obvious negative emotions,so put forward corresponding optimization suggestions and advises for further solve the negative emotion.