2020
DOI: 10.1016/j.tmp.2020.100744
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Impacts of COVID-19 on global tourism industry: A cross-regional comparison

Abstract: The tourism industry was one of the world's greatest markets; until the world met a pandemic in the 21st century, COVID-19. This study aims to present the reactions of travelers during the pandemic trends outlined by adopting text mining techniques. Between December 30, 2019–March 15, 2020, approximately 75,000 comments are retrieved from the TripAdvisor forums, and 23,515 cases from the US, Europe, and Asia forums are employed for analyses. The results reveal that the tourism sector is easily affec… Show more

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Cited by 407 publications
(274 citation statements)
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“…Although their analysis was limited to Asia, Europe and the United States, it revealed the importance of travel insurance in light of the crisis. This present article is therefore an application of the suggestion by Uğur and Akbıyık (2020), who contend that such research is still anecdotal in COVID-19 literature. The article is also important from a developing country perspective since crisis-related research is limited in these contexts (Chen et al, 2020).…”
Section: Introduction and Literature Reviewmentioning
confidence: 79%
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“…Although their analysis was limited to Asia, Europe and the United States, it revealed the importance of travel insurance in light of the crisis. This present article is therefore an application of the suggestion by Uğur and Akbıyık (2020), who contend that such research is still anecdotal in COVID-19 literature. The article is also important from a developing country perspective since crisis-related research is limited in these contexts (Chen et al, 2020).…”
Section: Introduction and Literature Reviewmentioning
confidence: 79%
“…Text mining is an iterative process which begins with the collection of a textual data set (Uğur & Akbıyık, 2020). In this case, text was obtained from the webpages that displayed review comments containing five keywords.…”
Section: Text Miningmentioning
confidence: 99%
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