Aspect-based sentiment analysis on online customer reviews: a case study of technology-supported hotels

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dc.contributor.author Özen, İbrahim Akın
dc.contributor.author Özgül Katlav, Eda
dc.date.accessioned 2023-11-15T10:41:04Z
dc.date.available 2023-11-15T10:41:04Z
dc.date.issued 2023
dc.identifier.citation Özen, İ. A., & Özgül Katlav, E. (2023). Aspect-based sentiment analysis on online customer reviews: a case study of technology-supported hotels. Journal of Hospitality and Tourism Technology, 14(2), 102-120. tr_TR
dc.identifier.uri https://www.emerald.com/insight/content/doi/10.1108/JHTT-12-2020-0319/full/html
dc.identifier.uri http://hdl.handle.net/20.500.11787/8315
dc.description.abstract Abstract Purpose – The purpose of this study is to determine the satisfaction of the guests who stay at hotels offering technology-supported products and services related to the services and products they receive by using the opinion mining technique. Design/methodology/approach – In this research, 12,396 customer reviews on booking.com related to ten hotels belonging to a hotel chain using technology-supported products were evaluated with aspect-based sentiment analysis techniques. Findings – As a result of this study, it has been determined that using technology in hotel businesses creates a positive impression on customer satisfaction. It has been determined that the enrichment of standard hotel business products such as beds and room lighting with technology, in a way that will not be very costly, affects the guests. In addition, it is interesting that technological features such as robots and room service robots, which are called “High & Technology” in this study, are evaluated by customers in the service process. Practical implications – The hotel managements have the opportunity to evaluate the services we offer by analyzing their online comments and to see their own image from the eyes of the guests. Hotel businesses must learn about customer expectations for technologies with high investment costs. This study, which analyzes online customer reviews, enables tourism businesses that offer technology-supported products and services and invest in technology in service delivery, to understand how customers evaluate the service. Originality/value – In this study, customer reviews of a hotel group operating in many countries belonging to a hotel group that enriches its standard products with technology and provides service with the concept of a “smart hotel” were examined. This study contributes to the understanding of customers’ experience of using technological products in hotel businesses. This study contributes to the literature on customers’ satisfaction with technological hotel products and services and the decision of hotels to invest in technology tr_TR
dc.language.iso eng tr_TR
dc.publisher Journal of Hospitality and Tourism Technology tr_TR
dc.relation.isversionof 10.1108/JHTT-12-2020-0319 tr_TR
dc.rights info:eu-repo/semantics/restrictedAccess tr_TR
dc.subject Data mining tr_TR
dc.subject Text mining tr_TR
dc.subject Hotel technology tr_TR
dc.subject Aspect-based sentiment analysis tr_TR
dc.subject Customer reviews tr_TR
dc.title Aspect-based sentiment analysis on online customer reviews: a case study of technology-supported hotels tr_TR
dc.type article tr_TR
dc.contributor.department Nevşehir HBV Üniversitesi, Turizm Fakültesi, Turizm Rehberliği Bölümü tr_TR
dc.contributor.authorID 37095 tr_TR
dc.identifier.volume 14 tr_TR
dc.identifier.issue 2 tr_TR
dc.identifier.startpage 102 tr_TR
dc.identifier.endpage 120 tr_TR


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