Publicação em atas de evento científico
Are they sisters?: Using text mining approach to understand perceptions about Madeira and Bermuda
Sandra Loureiro (Loureiro, S. M. C.); Ricardo Godinho Bilro (Bilro, R.G.); Tiago Maniés Ferro (Ferro, T.);
Proceedings of the 48th EMAC Conference
Ano (publicação definitiva)
2019
Língua
Inglês
País
--
Mais Informação
Web of Science®

Esta publicação não está indexada na Web of Science®

Scopus

Esta publicação não está indexada na Scopus

Google Scholar

N.º de citações: 0

(Última verificação: 2024-12-22 14:36)

Ver o registo no Google Scholar

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
--
Palavras-chave
Tourism experience model,Netnography,Text mining,Island destination