Research Profile on Data Science in the Field of Tourism

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-07-26 DOI:10.37741/t.72.4.13
Alexander Bustamante Martínez, Ernesto Amaru Galvis Lista, Mayda Patricia Gonzalez Zabala
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Abstract

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.
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旅游领域数据科学研究简介
本研究利用 SCOPUS(书目记录)和 VOSViewer(元数据分析)对旅游业中的数据科学应用趋势进行了研究。它根据关键词的强度突出显示了前 100 个关键词。自 2012 年以来,相关出版物呈指数级增长。一个国家的经济旅游实力与其研究成果之间似乎存在联系。澳大利亚、意大利和西班牙等以旅游业著称的国家在研究贡献方面也占据主导地位。中国在这一领域处于领先地位,自2012年以来,中国的出版物数量持续增加。研究确定了一些关键领域:第一组强调了大数据在提升旅游服务方面的作用;第二组探索了在挖掘游客评论时人类语言的复杂性;第三组深入研究了文本中的情感极性检测;第四组提出了衡量目的地竞争力的指标。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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