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国外智慧旅游政策和理论的主题建模及趋势研究

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为理清国外智慧旅游政策和理论的研究热点及趋势,通过LDA(隐含狄利克雷分布)主题模型得出4个政策主题、8 个理论主题.分析发现"digital travel(数字旅游)""intelligent travel(智 能旅游)""smart tourism standards(智慧旅游标准)"是政策文本重点内容.通过主题模型和知识图谱分析学术文本发现,智慧旅游"data mining(数据挖掘)""smart tourism system(智慧旅游系统)"信息推荐功能日渐显著,游客行为满意度与智慧旅游城市的选择两者之间关系密切.针对研究结论提出强化智慧旅游工作绩效评估机制、完善标准化政策体系、加大政策扶持新力度等建议.
Thematic Modeling and Trend Research of Foreign Smart Tourism Policies and Theories
In order to understand the research hotspots and trends of foreign smart tourism policies and theories,four policy themes and eight theoretical themes through the LDA(latent Dirichlet allocation)theme model are combed.It is found that"digital travel""intelligent travel""smart tourism standards"and other themes are the key content of the policy text.Through the topic model and knowledge graph analysis,it is found that the smart tourism"data mining"and"smart tourism system"information recommendation function is increasingly significant.There is a close relationship between tourist behavior satisfaction and the choice of smart tourist city.Countermeasures and suggestions are put forward,such as strengthening the performance evaluation mechanism of smart tourism,improving the standardized policy system of smart tourism,and increasing the new support of smart tourism policies.

smart tourismLDA(latent Dirichlet allocation)topic modelingCiteSpaceresearch trends

陈秋英、宋姗姗

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厦门理工学院文化产业与旅游学院,福建厦门 361024

智慧旅游 LDA(隐含狄利克雷分布)主题建模 CiteSpace 研究趋势

福建省软科学研究计划福建省科技创新战略研究联合项目

2022R0143

2024

科技和产业
中国技术经济学会

科技和产业

影响因子:0.361
ISSN:1671-1807
年,卷(期):2024.24(5)
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