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    http://hdl.handle.net/10071/29623| Autoria: | Loureiro, S. M. C. Bilro, R.G. Ferro, T.  | 
| Data: | 1-Jan-2019 | 
| Título próprio: | Are they sisters?: Using text mining approach to understand perceptions about Madeira and Bermuda | 
| Título e volume do livro: | Proceedings of the 48th EMAC Conference | 
| Título do evento: | 48th EMAC Annual Conference | 
| Referência bibliográfica: | 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 | 
| ISBN: | 978-3-9821146-0-6 | 
| Palavras-chave: | Tourism experience model Netnography Text mining Island destination  | 
| Resumo: | 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. | 
| Arbitragem científica: | yes | 
| Acesso: | Acesso Aberto | 
| Aparece nas coleções: | BRU-CRI - Comunicações a conferências internacionais | 
Ficheiros deste registo:
| Ficheiro | Tamanho | Formato | |
|---|---|---|---|
| conferenceObject_63250.pdf | 341,57 kB | Adobe PDF | Ver/Abrir | 
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