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Profile Tourists Using TripAdvisor's Reviews

dc.contributor.authorFerreira, Jessica
dc.contributor.authorScalabrini, E.C.B.
dc.contributor.authorFernandes, Paula Odete
dc.date.accessioned2024-09-26T08:42:00Z
dc.date.available2024-09-26T08:42:00Z
dc.date.issued2024
dc.description.abstractThe profiling of tourists according to their decision behaviour is not new. Still, the popularity of the Internet and its increasing role in tourist decisions is becoming an essential area of research. TripAdvisor uses various methods to profile tourists based on their interactions and behaviours on the platform. This study utilised TripAdvisor reviews to profile tourists visiting Bragança, Northern Portugal, during the pandemic period of 2020–2022 and the search for quality of life. The analysis involved 1443 comments and classifications from city attractions, hotels, and restaurants. MAXQDA, a qualitative and mixed-methods data analysis software, facilitated content analysis, examining qualitative data and socio-demographic variables, quantifying text analysis using MAXDictio, profile comparison charts, and word exploration. Findings indicated that 2020 had the highest number of comments, with restaurants receiving the most feedback, followed by attractions and hotels. Demographic analysis revealed a predominantly male gender, primarily within the age ranges of 31–60. International tourists outnumbered domestic visitors, with Spain, Brazil, and France being the most prevalent foreign nationalities. Gender was linked to ratings, with a prevalence of maximum positive ratings. While men predominantly provided comments, women expressed more positive sentiments. This research contributes insights into tourist profiles in Bragança, derived from TripAdvisor reviews, including preferences, demographics, and experiences during the pandemic period.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFerreira, Jessica; Scalabrini, E.C.B.; Fernandes, Paula Odete (2024). Profile tourists using tripAdvisor’s reviews. In 10th International Conference of the International Association of Cultural and Digital Tourism, IACuDiT 2023. Cretept_PT
dc.identifier.doi10.1007/978-3-031-54338-8_39pt_PT
dc.identifier.isbn978-3-031-54337-1
dc.identifier.urihttp://hdl.handle.net/10198/30279
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationApplied Management Research Unit
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectNorthern Portugalpt_PT
dc.subjectTourist profilept_PT
dc.subjectTripAdvisorpt_PT
dc.subjectMAXQDApt_PT
dc.titleProfile Tourists Using TripAdvisor's Reviewspt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleApplied Management Research Unit
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04752%2F2020/PT
oaire.citation.conferencePlaceCretept_PT
oaire.citation.endPage679pt_PT
oaire.citation.startPage665pt_PT
oaire.citation.title10th International Conference of the International Association of Cultural and Digital Tourism, IACuDiT 2023pt_PT
oaire.citation.volume1pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFerreira
person.familyNameScalabrini
person.familyNameFernandes
person.givenNameJessica
person.givenNameElaine C.B.
person.givenNamePaula Odete
person.identifierhttps://scholar.google.com/citations?user=uwiO_FgAAAAJ&hl=pt-PT
person.identifierN-3804-2013
person.identifier.ciencia-id7A15-9500-44E4
person.identifier.ciencia-idC215-238E-B5E1
person.identifier.ciencia-id991D-9D1E-D67D
person.identifier.orcid0000-0002-4141-6702
person.identifier.orcid0000-0001-7164-2471
person.identifier.orcid0000-0001-8714-4901
person.identifier.scopus-author-id57204795793
person.identifier.scopus-author-id57219651339
person.identifier.scopus-author-id35200741800
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication62d87d26-8945-41ec-bc3a-cf618fd3f2fc
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relation.isAuthorOfPublication.latestForDiscovery2269147c-2b53-4d1c-bc1b-f1367d197262
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