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dc.contributor.authorCheng, Mingming
dc.contributor.authorJin, Xin
dc.date.accessioned2020-10-05T22:45:27Z
dc.date.available2020-10-05T22:45:27Z
dc.date.issued2019
dc.identifier.issn0278-4319en_US
dc.identifier.doi10.1016/j.ijhm.2018.04.004en_US
dc.identifier.urihttp://hdl.handle.net/10072/383676
dc.description.abstractThis study investigates the attributes that influence Airbnb users’ experiences by analysing a “big data” set of online review comments through the process of text mining and sentiment analysis. Findings reveal that Airbnb users tend to evaluate their experience based on a frame of reference derived from past hotel stays. Three key attributes identified in the data include ‘location’, ‘amenities’ and ‘host’. Surprisingly, ‘price’ is not identified as a key influencer. The analysis suggests a positivity bias in Airbnb users’ comments while negative sentiments are mostly caused by ‘noise’. This research offers an alternative approach and more coherent understanding of the Airbnb experience. Methodologically, it contributes by illustrating how big data can be used and visually interpreted in tourism and hospitality studies.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.language.isoeng
dc.publisherElsevier Science
dc.relation.ispartofpagefrom58en_US
dc.relation.ispartofpageto70en_US
dc.relation.ispartofjournalInternational Journal of Hospitality Managementen_US
dc.relation.ispartofvolume76en_US
dc.subject.fieldofresearchCommercial Servicesen_US
dc.subject.fieldofresearchMarketingen_US
dc.subject.fieldofresearchTourismen_US
dc.subject.fieldofresearchcode1504en_US
dc.subject.fieldofresearchcode1505en_US
dc.subject.fieldofresearchcode1506en_US
dc.titleWhat do Airbnb users care about? An analysis of online review commentsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dc.type.codeC - Journal Articlesen_US
dcterms.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.description.versionAccepted Manuscript (AM)en_US
gro.rights.copyright© 2019 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.en_US
gro.hasfulltextFull Text
gro.griffith.authorJin, Xin


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