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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Silva, B., Moro, S. & Marques, C. (2022). Sensing the impact of COVID-19 restrictions from online reviews: The cases of London and Paris unveiled through text mining. In Reis, J. L., Parra López, E., Moutinho, L., and Santos, J. P. M. dos. (Ed.), Marketing and Smart Technologies. Smart Innovation, Systems and Technologies. (pp. 223-232). La Laguna: Springer Singapore.
Exportar Referência (IEEE) 
B. R. Silva et al.,  "Sensing the impact of COVID-19 restrictions from online reviews: The cases of London and Paris unveiled through text mining", in Marketing and Smart Technologies. Smart Innovation, Systems and Technologies, Reis, J. L., Parra López, E., Moutinho, L., and Santos, J. P. M. dos., Ed., La Laguna, Springer Singapore, 2022, vol. 279, pp. 223-232
Exportar BibTeX 
@inproceedings{silva2022_1732203024002,
	author = "Silva, B. and Moro, S. and Marques, C.",
	title = "Sensing the impact of COVID-19 restrictions from online reviews: The cases of London and Paris unveiled through text mining",
	booktitle = "Marketing and Smart Technologies. Smart Innovation, Systems and Technologies",
	year = "2022",
	editor = "Reis, J. L., Parra López, E., Moutinho, L., and Santos, J. P. M. dos.",
	volume = "279",
	number = "",
	series = "",
	doi = "10.1007/978-981-16-9268-0_18",
	pages = "223-232",
	publisher = "Springer Singapore",
	address = "La Laguna",
	organization = "",
	url = "https://link.springer.com/book/10.1007/978-981-16-9268-0"
}
Exportar RIS 
TY  - CPAPER
TI  - Sensing the impact of COVID-19 restrictions from online reviews: The cases of London and Paris unveiled through text mining
T2  - Marketing and Smart Technologies. Smart Innovation, Systems and Technologies
VL  - 279
AU  - Silva, B.
AU  - Moro, S.
AU  - Marques, C.
PY  - 2022
SP  - 223-232
SN  - 2190-3018
DO  - 10.1007/978-981-16-9268-0_18
CY  - La Laguna
UR  - https://link.springer.com/book/10.1007/978-981-16-9268-0
AB  - 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.
ER  -