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Applying Creative Computing in the Analysis of Smart Tourism Research in China

机译：应用创意计算在中国智能旅游研究分析中

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摘要

Understanding the contents of smart tourism comprehensively can provide abundant guidance and reference for the practiccs of smart tourism. It also helps to identify and overcome the shortcomings of smart tourism research. Based on the core ideas of creative computing, this paper constructs a word frequency matrix and performs cluster analysis by using keywords from smart tourism research. Then, the relevant keywords are extracted by using chi-squared statistics to interpret the cluster results. The results show that many creative articles focus on tourism information, the status quo and countermeasures of smart tourism, tourism information technology, and smart tourism scenic area management, which are the hot topics of domestic smart tourism research. Furthermore, tourism big data, tourism service supply chain, Internet+tourism, and tourism experience have recently attracted increasing attention. The impact of tourism industry policy and the application of new information technology have always been an important source of creativity in smart tourism research.
机译：了解智能旅游的内容全面，可以为智能旅游的实践提供丰富的指导和参考。它还有助于识别和克服智能旅游研究的缺点。基于创意计算的核心思路，本文通过使用智能旅游研究的关键字来构造一个字频率矩阵并执行集群分析。然后，通过使用Chi-Squared统计信息来提取相关关键字来解释群集结果。结果表明，许多创意文章侧重于旅游信息，智能旅游，旅游信息技术和智能旅游风景区管理的现状和对策，这是国内智能旅游研究的热门话题。此外，旅游大数据，旅游服务供应链，互联网+旅游和旅游体验最近引起了越来越关注。旅游业政策的影响和新信息技术的应用始终是智能旅游研究中创造力的重要来源。

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