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Publication Detailed Description
Sensing the impact of COVID-19 restrictions from online reviews: The cases of London and Paris unveiled through text mining
Marketing and Smart Technologies. Smart Innovation, Systems and Technologies
Year (definitive publication)
2022
Language
English
Country
Singapore
More Information
Web of Science®
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Abstract
This study aims to understand how the COVID-19 pandemic affected the hotel sector and to identify the current traveler demands. The traveler’s re-views were analyzed based on sentiment analysis and a guest satisfaction model was also proposed, demonstrating a data mining approach within tourism and hospitality research. Given its popularity, TripAdvisor was the chosen platform for collection of hotel reviews in London and Paris. Text data were extracted from reviews made in two time periods, before and during the COVID-19 pan-demic. The sentiment and specific aspects highlighted by travelers were com-pared between each period.
Acknowledgements
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Keywords
Text mining,Sentiment analysis,Tourism,Hotel traveler’s online reviews,COVID-19 pandemic
Fields of Science and Technology Classification
- Economics and Business - Social Sciences
- Social and Economic Geography - Social Sciences
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UIDB/04466/2020 | Fundação para a Ciência e a Tecnologia |
| UIDB/00315/2020 | Fundação para a Ciência e a Tecnologia |
Contributions to the Sustainable Development Goals of the United Nations
With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific publications with the Sustainable Development Goals is now available in Ciência-IUL. These are the Sustainable Development Goals identified by the author(s) for this publication. For more detailed information on the Sustainable Development Goals, click here.
