摘要
以中国电影主题公园为例,收集多个旅游网站游客评论数据,采用LDA(latent dirichlet allocation)主题模型方法、共现网络分析方法及情感分析方法对游客评论文本进行研究。结果表明,国内电影主题公园游客评论可以分为旅游服务主题、旅游景观主题、整体感知主题以及活动体验主题4个主题。结合共现网络分析及情感分析结果识别当前景区现状及痛点,为文旅企业经营者提供较为准确的游客偏好信息,也为企业后续管理及决策提供相关理论及数据支撑。
Taking China’s movie theme parks as an example,the visitor review data of multiple tourism websites were collected,and the LDA theme model method,co-occurrence network analysis method and sentiment analysis method was used to study the tourist review text.The results show that the domestic movie theme park visitor reviews can be divided into four themes:tourism service theme,tourism landscape theme,overall perception theme and activity experience theme.Combined with the results of co-occurrence network analysis and sentiment analysis,the current situation and pain points of the prospect area are identified,which provides more accurate tourist preference information for cultural tourism enterprise operators,and also provides relevant theoretical and data support for the subsequent management and decision-making of enterprises.
作者
林轶
曹清芳
LIN Yi;CAO Qingfang(School of Business Administration,Guangxi University,Nanning 530000,China)
出处
《科技和产业》
2023年第22期93-98,共6页
Science Technology and Industry
