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Bilro, R.G., Loureiro, S. M. C. & Ferro, T. M. (2019). Are they sisters? Using text mining approach to understand perceptions about Madeira and Bermuda. 48th annual European Marketing Academy annual conference - EMAC .
R. J. Bilro et al., "Are they sisters? Using text mining approach to understand perceptions about Madeira and Bermuda", in 48th annual European Marketing Academy annual conference - EMAC , Hamburg, 2019
@misc{bilro2019_1734884032861, author = "Bilro, R.G. and Loureiro, S. M. C. and Ferro, T. M.", title = "Are they sisters? Using text mining approach to understand perceptions about Madeira and Bermuda", year = "2019", howpublished = "Ambos (impresso e digital)", url = "https://www.emac-2019.org/" }
TY - CPAPER TI - Are they sisters? Using text mining approach to understand perceptions about Madeira and Bermuda T2 - 48th annual European Marketing Academy annual conference - EMAC AU - Bilro, R.G. AU - Loureiro, S. M. C. AU - Ferro, T. M. PY - 2019 CY - Hamburg UR - https://www.emac-2019.org/ AB - 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. ER -