Utilize este identificador para referenciar este registo: 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

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