Sensing the impact of COVID-19 restrictions from online reviews: The cases of London and Paris unveiled through text mining
This study aims to understand how the COVID-19 pandemic affected the hotel sector and to identify the current traveler demands. The traveler’s reviews were analyzed based on a sentiment and guest satisfaction analysis, demonstrating a data mining approach within tourism and hospitality research. Giv...
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| Formato: | masterThesis |
| Idioma: | eng |
| Publicado em: |
2022
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| Texto completo: | http://hdl.handle.net/10071/23879 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/23879 |