大数据和AI技术赋能文旅高质量融合发展

文旅融合高质量发展是当前一项重要的国家建设方针，也是学术界的重要论题。分析文旅融合研究中存在的问题，提出通过对旅游在线评论挖掘探索技术赋能文旅融合发展的模式与方法。首先从携程网网站收集在线评论并进行预处理，然后从基于词频的关注点挖掘、基于共现的语义网络分析以及基于LDA模型的口碑主题分析3个方面展开研究，最后在上述分析结果的基础上提出文旅融合高质量发展的对策与建议。

Study on Big Data and AI Technology Enable Culture and Tourism High-quality Integrated Development

The culture and tourism high-quality integrated development is not only an important national construction policy, but also an important topic in academic circles.The problems existing in the research of cultural tourism integration is analyzed, and the mode and method of exploring the development of high-quality cultural tourism integration are put forwardthrough the mining of tourism online comments. Firstly, online comments are collected and preprocessed from Ctrip website, and then the models and methods of cultural tourism integration enabled by big data and AI technology are explored from three aspects: focus mining based on word frequency, semantic network analysis based on co-occurrence and word-of-mouth topic analysis based on LDA model. Finally, based on the above analysis results, the countermeasures and suggestions for the high-quality development of cultural tourism integration are put forward.