Tourism is one of the economic activities that has changed most since large‐scale multidimensional data set, so‐called big data, was provided. The scientific literature on big data and tourism with the hospitality industry has been growing exponentially, which is, for this reason, hard to comprehend and synthesise manually. Our research question is how to familiarise oneself with the current knowledge of the relationship between the big data and the complex changes in the tourism and hospitality industry. An automated content analysis procedure was used to identify key topics and concepts of interest to the researchers. A careful review of the abstracts and full texts was carried out, resulting in a final list of 308 papers published in 154 journals. We used the Leximancer software 5.0 to create an automated content analysis. Seven topics (tourism, data, search, model, industry, online and travel) from papers published between 2011 and 5/2020 were found. We propose future development trends of big data in sustainable tourism.

中文翻译：

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自动化的内容分析：旅游和酒店业大数据系统论述的回顾

自提供大规模多维数据集（所谓的大数据）以来，旅游业是变化最大的经济活动之一。与酒店业有关的大数据和旅游业的科学文献呈指数增长，因此很难手动理解和综合。我们的研究问题是如何使自己熟悉当前有关旅游业和酒店业大数据与复杂变化之间关系的知识。使用自动内容分析程序来确定研究人员感兴趣的关键主题和概念。对摘要和全文进行了仔细的审查，最终获得了154种期刊上发表的308篇论文的最终清单。我们使用Leximancer软件5.0创建了自动的内容分析。七个主题（旅游，从2011年至5/2020年发表的论文中找到数据，搜索，模型，行业，在线和旅行）。我们提出了可持续旅游业中大数据的未来发展趋势。