Publication:
An evaluation of airport service experience: An identification of service improvement opportunities based on topic modeling and sentiment analysis

dc.contributor.authorKılıç, Sena
dc.contributor.authorÇadirci, T. O.
dc.contributor.departmentAviation Management
dc.contributor.ozuauthorKILIÇ, Sena
dc.date.accessioned2023-07-11T11:18:25Z
dc.date.available2023-07-11T11:18:25Z
dc.date.issued2022-06
dc.description.abstractWith the increase in airport alternatives and airport service variation, passengers' perception of the airport experience has changed. By working with consumer experience through customer reviews, this study aims to define customer experiences and expectations. Topic modeling and sentiment analysis are applied to 1224 passengers' comments on the top 10 airports collected from Skytrax. Ten topics consisting of baggage claim, immigration process, access gates, procedures at the airport, leisure activities, employee service, transfer/transit amenities, terminal facilities, passport control, ambient conditions are identified. With a few exceptions, positive sentiments have been obtained for these topics. Finally, managerial implications and limitations are shared.en_US
dc.identifier.doi10.1016/j.rtbm.2021.100744en_US
dc.identifier.issn2210-5395en_US
dc.identifier.scopus2-s2.0-85119978131
dc.identifier.urihttp://hdl.handle.net/10679/8481
dc.identifier.urihttps://doi.org/10.1016/j.rtbm.2021.100744
dc.identifier.volume43en_US
dc.identifier.wos000811187100007
dc.language.isoengen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.publisherElsevieren_US
dc.relation.ispartofResearch in Transportation Business and Management
dc.relation.publicationcategoryInternational Refereed Journal
dc.rightsrestrictedAccess
dc.subject.keywordsAirport service experienceen_US
dc.subject.keywordsOpportunity miningen_US
dc.subject.keywordsSentiment analysisen_US
dc.subject.keywordsTopic modelingen_US
dc.titleAn evaluation of airport service experience: An identification of service improvement opportunities based on topic modeling and sentiment analysisen_US
dc.typearticleen_US
dspace.entity.typePublication
relation.isOrgUnitOfPublicationbba39915-0fd7-4b16-abb9-d172241584bd
relation.isOrgUnitOfPublication.latestForDiscoverybba39915-0fd7-4b16-abb9-d172241584bd

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