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 SizeFormat 
conferenceObject_63250.pdf341,57 kBAdobe PDFView/Open


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.