Show simple item record

dc.contributor.authorLe, Truc H
dc.contributor.authorArcodia, Charles
dc.contributor.authorNovais, Margarida Abreu
dc.contributor.authorKralj, Anna
dc.date.accessioned2021-01-18T21:26:44Z
dc.date.available2021-01-18T21:26:44Z
dc.date.issued2020
dc.identifier.issn1368-3500
dc.identifier.doi10.1080/13683500.2020.1829568
dc.identifier.urihttp://hdl.handle.net/10072/400908
dc.description.abstractThis paper argues that the analysis of vast amounts of user-generated content, which are currently dominated by text analytics and machine learning, need more methodical incorporation of reliable traditional methodologies to facilitate deeper understanding of concepts and theory building. Specifically, a systematic approach that integrates machine learning and traditional research methods is needed to overcome inherent drawbacks of both approaches. A step-by-step methodological framework for the analysis of online reviews is proposed and demonstrated. An application of the framework with an example drawn from the context of understanding authenticity in dining experiences illustrates its usefulness in the investigation of complex concepts. This paper represents one of the first attempts to systematise an integrated learning approach to understand complex concepts and build theories in tourism and hospitality, contributing to more rigourous procedures for processing and analysing large data sets of user-generated content.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherRoutledge: Taylor & Francis Group
dc.relation.ispartofjournalCurrent Issues in Tourism
dc.subject.fieldofresearchTourism
dc.subject.fieldofresearchMarketing
dc.subject.fieldofresearchHuman geography
dc.subject.fieldofresearchcode3508
dc.subject.fieldofresearchcode3506
dc.subject.fieldofresearchcode4406
dc.subject.keywordsSocial Sciences
dc.subject.keywordsHospitality, Leisure, Sport & Tourism
dc.subject.keywordsSocial Sciences - Other Topics
dc.subject.keywordsMachine learning
dc.subject.keywordsintegrated learning
dc.titleProposing a systematic approach for integrating traditional research methods into machine learning in text analytics in tourism and hospitality
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationLe, TH; Arcodia, C; Novais, MA; Kralj, A, Proposing a systematic approach for integrating traditional research methods into machine learning in text analytics in tourism and hospitality, Current Issues in Tourism , 2020
dc.date.updated2021-01-12T02:49:43Z
dc.description.versionAccepted Manuscript (AM)
gro.description.notepublicThis publication has been entered as an advanced online version in Griffith Research Online.
gro.rights.copyrightThis is an Author's Accepted Manuscript of an article published in Current Issues in Tourism, 13 Oct 2020, copyright Taylor & Francis, available online at: https://doi.org/10.1080/13683500.2020.1829568
gro.hasfulltextFull Text
gro.griffith.authorKralj, Anna L.
gro.griffith.authorLe, Truc H.
gro.griffith.authorArcodia, Charles
gro.griffith.authorAbreu Novais, Margarida C.


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record