Comunicação em evento científico
Are they sisters? Using text mining approach to understand perceptions about Madeira and Bermuda
Ricardo Godinho Bilro (Bilro, R.G.); Sandra Loureiro (Loureiro, S. M. C.); Tiago Maniés Ferro (Ferro, T. M.);
Título Evento
48th annual European Marketing Academy annual conference - EMAC
Ano (publicação definitiva)
2019
Língua
Inglês
País
Alemanha
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(Última verificação: 2024-11-18 11:24)

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Abstract/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.
Agradecimentos/Acknowledgements
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Palavras-chave
Netnography,Text Mining,Island destination,Tourism Experience Model