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Loureiro, S. M. C., Bilro, R.G. & Ferro, T. (2019). Are they sisters?: Using text mining approach to understand perceptions about Madeira and Bermuda. In Proceedings of the 48th EMAC Conference. Hamburg: EMAC.

S. M. Loureiro et al.,  "Are they sisters?: Using text mining approach to understand perceptions about Madeira and Bermuda", in Proc. of the 48th EMAC Conf., Hamburg, EMAC, 2019

@inproceedings{loureiro2019_1714585162408,
	author = "Loureiro, S. M. C. and Bilro, R.G. and Ferro, T.",
	title = "Are they sisters?: Using text mining approach to understand perceptions about Madeira and Bermuda",
	booktitle = "Proceedings of the 48th EMAC Conference",
	year = "2019",
	editor = "",
	volume = "",
	number = "",
	series = "",
	publisher = "EMAC",
	address = "Hamburg",
	organization = "University of Hamburg Marketing GmbH",
	url = "https://proceedings.emac-online.org/index.cfm?eventid=1&EMAC%202019%20Annual%20Con "
}

TY  - CPAPER
TI  - Are they sisters?: Using text mining approach to understand perceptions about Madeira and Bermuda
T2  - Proceedings of the 48th EMAC Conference
AU  - Loureiro, S. M. C.
AU  - Bilro, R.G.
AU  - Ferro, T.
PY  - 2019
CY  - Hamburg
UR  - https://proceedings.emac-online.org/index.cfm?eventid=1&EMAC%202019%20Annual%20Con 
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  -