| Autor: |
Bustamante Martínez, Alexander, Galvis Lista, Ernesto Amaru, Gonzalez Zabala, Mayda Patricia |
| Předmět: |
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| Zdroj: |
Tourism (13327461); 2024, Vol. 17 Issue 4, p673-686, 14p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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