Alexander Bustamante Martínez, Ernesto Amaru Galvis Lista, Mayda Patricia Gonzalez Zabala
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Research Profile on Data Science in the Field of Tourism
This research examined trends in data science application within tourism using SCOPUS for bibliographic records and VOSViewer for metadata analysis. It highlighted the top 100 keywords based on their strength. Since 2012, there's been an exponential rise in related publications. There seems to be a link between a nation's economic tourism strength and its research output. Countries like Australia, Italy, and Spain, which are known for tourism, also dominate research contributions. China has led in this domain, consistently upping its publications since 2012. The study identified some key areas: Cluster 1 emphasizes Big Data's role in enhancing tourism services; Cluster 2 explores the intricacies of human language in mining tourist reviews; Cluster 3 delves into sentiment polarity detection in texts; while Cluster 4 presents metrics for gauging destination competitiveness.
期刊介绍：
Journal TOURISM is an international academic and professional quarterly which welcomes articles on various aspects of travel and tourism. Th e journal emphasises the broadness and interrelatedness of the tourism sector. Manuscripts submitted to the Journal can be processed quickly if they are prepared according to the following guidelines. Manuscripts will be returned to the author with a set of instructions if they are not submitted according to our style guide. No contribution will be accepted which has been published elsewhere, unless it is specifi cally invited or agreed by the Editor.
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