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Current Issues in Tourism Volume 25, 2022 - Issue 22: Airbnb and the sharing economy
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Examining Airbnb guest satisfaction tendencies: a text mining approach

Mariana Caviquea Iscte – Instituto Universitário de Lisboa,Lisbon, Portugal;b Universidade Europeia, Lisbon, PortugalCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-8489-8644View further author information
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Ricardo Ribeiroa Iscte – Instituto Universitário de Lisboa,Lisbon, Portugal;c INESC-ID, Lisboa, PortugalORCID Iconhttps://orcid.org/0000-0002-2058-693XView further author information
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Fernando Batistaa Iscte – Instituto Universitário de Lisboa,Lisbon, Portugal;c INESC-ID, Lisboa, PortugalORCID Iconhttps://orcid.org/0000-0002-1075-0177View further author information
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Antónia Correiad CEFAGE, University of Algarve, Faro, PortugalORCID Iconhttps://orcid.org/0000-0002-6707-8289View further author information
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Pages 3607-3622 | Received 07 Dec 2021, Accepted 10 Aug 2022, Published online: 02 Sep 2022

Citations (3)

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Read on this site (1)

Hyunsang Son & Young Eun Park. (2023) Predicting user engagement with textual, visual, and social media features for online travel agencies' Instagram post: evidence from machine learning. Current Issues in Tourism 0:0, pages 1-15.
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Articles from other publishers (2)

Wooseok Kwon. (2023) Reading customers’ minds through textual big data: Challenges, practical guidelines, and proposals. International Journal of Hospitality Management 111, pages 103473.
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Qiang Ye, Sai Liang, Zaiyan Wei & Rob Law. (2023) Effects of reputation on guest satisfaction: from the perspective of two-sided reviews on Airbnb. International Journal of Contemporary Hospitality Management.
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