Publicação
From host's descriptions to guests' reviews: semantic similarities
| datacite.subject.sdg | 04:Educação de Qualidade | |
| datacite.subject.sdg | 08:Trabalho Digno e Crescimento Económico | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | Cavique, Mariana | |
| dc.contributor.author | Ribeiro, Ricardo | |
| dc.contributor.author | Batista, Fernando | |
| dc.contributor.author | Correia, Antónia | |
| dc.date.accessioned | 2026-03-16T12:52:41Z | |
| dc.date.available | 2026-03-16T12:52:41Z | |
| dc.date.issued | 2025-11 | |
| dc.description.abstract | This study investigates the semantic alignment between Airbnb property descriptions and guest reviews. Word2Vec embeddings and affinity propagation clustering are used to identify granular semantic concepts, enabling a detailed comparison of the two text types. A new metric, concept coverage ratio, is introduced to measure the extent to which the guest review content is reflected in property descriptions. Results show that a higher concept coverage ratio is generally associated with more positive sentiment in reviews, suggesting that better alignment between host and guest perspectives contributes to guest satisfaction. However, longer and detailed descriptions may limit the potential for pleasantly surprising guests, as it reduces the chance for positive disconfirmation. These findings offer practical insights for improving communication in peer-to-peer accommodation. | eng |
| dc.description.sponsorship | UID/ECO/04007/2024 | |
| dc.identifier.doi | 10.1016/j.annale.2025.100187 | |
| dc.identifier.issn | 2666-9579 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/28426 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Elsevier | |
| dc.relation | Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa | |
| dc.relation.ispartof | Annals of Tourism Research Empirical Insights | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Airbnb | |
| dc.subject | Semantic similarity | |
| dc.subject | Clustering | |
| dc.subject | Word embeddings | |
| dc.subject | Sentiment analysis | |
| dc.title | From host's descriptions to guests' reviews: semantic similarities | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDB/50021/2020 | |
| oaire.awardTitle | Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT | |
| oaire.citation.issue | 2 | |
| oaire.citation.startPage | 100187 | |
| oaire.citation.title | Annals of Tourism Research Empirical Insights | |
| oaire.citation.volume | 6 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Correia | |
| person.givenName | Antónia | |
| person.identifier | R-000-K54 | |
| person.identifier.ciencia-id | 831F-FFD0-7A78 | |
| person.identifier.orcid | 0000-0002-6707-8289 | |
| person.identifier.scopus-author-id | 12140006700 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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