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Export Reference (APA) 
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 .
Export Reference (IEEE) 
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
Export BibTeX 
@misc{bilro2019_1765581435586,
	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 = "Both (printed and digital)",
	url = "https://www.emac-2019.org/"
}
Export RIS 
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  -