Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/29623
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Loureiro, S. M. C. | - |
dc.contributor.author | Bilro, R.G. | - |
dc.contributor.author | Ferro, T. | - |
dc.date.accessioned | 2023-11-16T11:35:28Z | - |
dc.date.available | 2023-11-16T11:35:28Z | - |
dc.date.issued | 2019-01-01 | - |
dc.identifier.citation | Loureiro, S. M. C., Bilro, R. G., & Ferro, T. (2019). Are they sisters?: Using text mining approach to understand perceptions about Madeira and Bermuda. Proceedings of the 48th EMAC Conference. EMAC. http://hdl.handle.net/10071/29623 | - |
dc.identifier.isbn | 978-3-9821146-0-6 | - |
dc.identifier.uri | http://hdl.handle.net/10071/29623 | - |
dc.description.abstract | The current study explores how tourists perceive two islands with identical culture, but different demographic characteristics. Two complementary methodologies are employed: Netnography and Text Mining. Eight encodings are used based on the literature: Rating, Categories, Membership Level of reviewers, Language type, Tourism Experience Model, Content, and Symbology and Positive/Negative information. With the first methodology, all encodings are analyzed, while in the Text Mining, only three: TEM, ML and categories. Customer satisfaction is slightly superior in Madeira. Lifestyle and Leisure and Tourism, Travel and Commuting are the main themes. Reviewers are engaged with the destinations and the re-purchase scenario is highly probable. | eng |
dc.language.iso | eng | - |
dc.publisher | EMAC | - |
dc.relation.ispartof | Proceedings of the 48th EMAC Conference | - |
dc.rights | openAccess | - |
dc.subject | Tourism experience model | eng |
dc.subject | Netnography | eng |
dc.subject | Text mining | eng |
dc.subject | Island destination | eng |
dc.title | Are they sisters?: Using text mining approach to understand perceptions about Madeira and Bermuda | eng |
dc.type | conferenceObject | - |
dc.event.title | 48th EMAC Annual Conference | - |
dc.event.type | Conferência | pt |
dc.event.location | Hamburg | eng |
dc.event.date | 2019 | - |
dc.peerreviewed | yes | - |
dc.date.updated | 2023-11-16T11:34:29Z | - |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-63250 | - |
Aparece nas coleções: | BRU-CRI - Comunicações a conferências internacionais |
Ficheiros deste registo:
Ficheiro | Tamanho | Formato | |
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conferenceObject_63250.pdf | 341,57 kB | Adobe PDF | Ver/Abrir |
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