Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/29623
Author(s): | Loureiro, S. M. C. Bilro, R.G. Ferro, T. |
Date: | 1-Jan-2019 |
Title: | Are they sisters?: Using text mining approach to understand perceptions about Madeira and Bermuda |
Book title/volume: | Proceedings of the 48th EMAC Conference |
Event title: | 48th EMAC Annual Conference |
Reference: | Loureiro, S. M. C., Bilro, R. G., & Ferro, T. (2019). Are they sisters?: Using text mining approach to understand perceptions about Madeira and Bermuda. Proceedings of the 48th EMAC Conference. EMAC. http://hdl.handle.net/10071/29623 |
ISBN: | 978-3-9821146-0-6 |
Keywords: | Tourism experience model Netnography Text mining Island destination |
Abstract: | 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. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | BRU-CRI - Comunicações a conferências internacionais |
Files in This Item:
File | Size | Format | |
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conferenceObject_63250.pdf | 341,57 kB | Adobe PDF | View/Open |
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