Scientific journal paper Q2
Analyzing Madeira and Bermuda as two different destinations: A text mining approach
Eduardo Sarmento Ferreira (Ferreira, E.S.); Sandra Loureiro (Loureiro, S. M. C.); Ricardo Godinho Bilro (Bilro, R.G.); Tiago Maniés Ferro (Ferro, T. M.);
Journal Title
Journal of Promotion Management
Year (definitive publication)
2022
Language
English
Country
United Kingdom
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Times Cited: 2

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Times Cited: 4

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Abstract
This study explores how tourists perceive two island destinations (Madeira and Bermuda) through reviews on social network platforms. An Artificial intelligence data mining methodology is used (text mining) to address the research problem. Authors collected TripAdvisor reviews, 1148 from Madeira and 635 from Bermuda (total pool of 1783 reviews). A database with three coding was generated, based on literature: Tourism Experience Model (TEM), Membership Level of reviewers (ML) and Categories. Data was analyzed through Meaning Cloud software. Results point out an overall customer satisfaction regarding both islands, but slightly superior for Madeira’s island. This research also discusses reviewers ranking level, the type of language in use, and the generation of negative content. It is possible to conclude that reviews can persuade others, namely their booking intention.
Acknowledgements
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Keywords
Online reviews,TripAdvisor,Tourism experience model,Data mining,Text mining
  • Economics and Business - Social Sciences
Funding Records
Funding Reference Funding Entity
UIDB/00315/2020 Fundação para a Ciência e a Tecnologia

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