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Exploring user-generated content for improving destination knowledge

2020-11-02Artigo científico Acesso aberto
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dc.contributor.authorAntónio, Nuno
dc.contributor.authorCorreia, Marisol B.
dc.contributor.authorRibeiro, Filipa Perdigão
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblMolecular Diversity Preservation International (MDPI)
dc.date.accessioned2020-11-30T23:59:09Z
dc.date.available2020-11-30T23:59:09Z
dc.date.issued2020-11-02
dc.descriptionAntonio, N., Correia, M. B., & Ribeiro, F. P. (2020). Exploring user-generated content for improving destination knowledge: The case of two world heritage cities. Sustainability (Switzerland), 12(22), 1-19. [9654]. https://doi.org/10.3390/su12229654
dc.description.abstractThis study explores two World Heritage Sites (WHS) as tourism destinations by applying several uncommon techniques in these settings: Smart Tourism Analytics, namely Text mining, Sentiment Analysis, and Market Basket Analysis, to highlight patterns according to attraction, nationality, and repeated visits. Salamanca (Spain) and Coimbra (Portugal) are analyzed and compared based on 8,638 online travel reviews (OTR), from TripAdvisor (2017–2018). Findings show that WHS reputation does not seem to be relevant to visitors-reviewers. Additionally, keyword extraction reveals that the reviews do not differ from language to language or from city to city, and it was also possible to identify several keywords related to history and heritage; in particular, architectural styles, names of kings, and places. The study identifies topics that could be used by destination management organizations to promote these cities, highlights the advantages of applying a data science approach, and confirms the rich information value of OTRs as a tool to (re)position the destination according to smart tourism design tenets.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent19
dc.format.extent3220037
dc.identifier.doi10.3390/su12229654
dc.identifier.issn2071-1050
dc.identifier.otherPURE: 26637103
dc.identifier.otherPURE UUID: 8792b053-b6e2-4621-923f-56f0d6576a11
dc.identifier.otherScopus: 85096382611
dc.identifier.otherWOS: 000594612800001
dc.identifier.urihttp://hdl.handle.net/10362/108043
dc.identifier.urlhttps://www.scopus.com/pages/publications/85096382611
dc.identifier.urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000594612800001
dc.language.isoeng
dc.peerreviewedyes
dc.subjectData science
dc.subjectEWOM
dc.subjectSentiment analysis
dc.subjectText mining
dc.subjectUNESCO heritage sites
dc.subjectUser-generated content
dc.subjectGeography, Planning and Development
dc.subjectRenewable Energy, Sustainability and the Environment
dc.subjectManagement, Monitoring, Policy and Law
dc.subjectSDG 7 - Affordable and Clean Energy
dc.titleExploring user-generated content for improving destination knowledgeen
dc.title.subtitleThe case of two world heritage citiesen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue22
degois.publication.lastPage19
degois.publication.titleSustainability
degois.publication.volume12
dspace.entity.typePublication
rcaap.rightsopenAccess

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NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals)