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dc.contributor.authorAlaei, Ali Reza
dc.contributor.authorBecken, Susanne
dc.contributor.authorStantic, Bela
dc.date.accessioned2018-02-21T12:30:30Z
dc.date.available2018-02-21T12:30:30Z
dc.date.issued2019
dc.identifier.issn0047-2875
dc.identifier.doi10.1177/0047287517747753
dc.identifier.urihttp://hdl.handle.net/10072/369680
dc.description.abstractAdvances in technology have fundamentally changed how information is produced and consumed by all actors involved in tourism. Tourists can now access different sources of information, and they can generate their own content and share their views and experiences. Tourism content shared through social media has become a very influential information source that impacts tourism in terms of both reputation and performance. However, the volume of data on the Internet has reached a level that makes manual processing almost impossible, demanding new analytical approaches. Sentiment analysis is rapidly emerging as an automated process of examining semantic relationships and meaning in reviews. In this article, different sentiment analysis approaches applied in tourism are reviewed and assessed in terms of the datasets used and performances on key evaluation metrics. The article concludes by outlining future research avenues to further advance sentiment analysis in tourism as part of a broader Big Data approach
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSage Publications
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto17
dc.relation.ispartofjournalJournal of Travel Research
dc.subject.fieldofresearchPattern recognition
dc.subject.fieldofresearchData mining and knowledge discovery
dc.subject.fieldofresearchCommunication technology and digital media studies
dc.subject.fieldofresearchMarketing
dc.subject.fieldofresearchTourism
dc.subject.fieldofresearchHuman geography
dc.subject.fieldofresearchcode460308
dc.subject.fieldofresearchcode460502
dc.subject.fieldofresearchcode470102
dc.subject.fieldofresearchcode3506
dc.subject.fieldofresearchcode3508
dc.subject.fieldofresearchcode4406
dc.titleSentiment Analysis in Tourism: Capitalizing on Big Data
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionAccepted Manuscript (AM)
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.description.notepublicThis publication has been entered into Griffith Research Online as an Advanced Online Version.
gro.rights.copyrightAlaei et al, Sentiment Analysis in Tourism: Capitalizing on Big Data, Journal of Travel Research, pp.1-17, 2017. Copyright 2017 The Authors. Reprinted by permission of SAGE Publications.
gro.hasfulltextFull Text
gro.griffith.authorStantic, Bela
gro.griffith.authorBecken, Susanne


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