Opinion mining in tourism: A study on ”Cappadocia home cooking” restaurant

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dc.contributor.author Özen, İbrahim Akın
dc.contributor.author İlhan, İbrahim
dc.date.accessioned 2021-07-01T07:48:24Z
dc.date.available 2021-07-01T07:48:24Z
dc.date.issued 2020-06
dc.identifier.citation Opinion Mining in Tourism: A Study on ”Cappadocia Home Cooking” Restaurant) (2020)., ÖZEN İBRAHİM AKIN,İLHAN İBRAHİM, IGI Global, Editör:Evrim Çeltek, Basım sayısı:1, Sayfa Sayısı 430 tr_TR
dc.identifier.isbn 9781799819899
dc.identifier.uri https://www.igi-global.com/chapter/opinion-mining-in-tourism/248548
dc.identifier.uri http://hdl.handle.net/20.500.11787/3394
dc.description.abstract In the tourism sector, online tourist reviews analysis is one of the methods to evaluate the products and services offered by businesses and understand the needs of tourists. These reviews take place in social networks and e-commerce sites in parallel with the developments in information and communication technologies. Tourists generate these reviews during or after their use of the products or services. In the literature, these reviews are referred to as UGC (User Generated Content) or eWOM (electronic word-of-mouth). The scientific evaluation of the textual contents in tourist reviews is done by text mining, which is a sub-area of data mining. This chapter discusses the methods and techniques of opinion mining or sentiment analysis. In addition, aspect-based sentiment analysis and techniques to be used in the application are discussed. A case study was carried out using aspect-based sentiment analysis method. In the application “Cappadocia home cooking” restaurant used tourist reviews. tr_TR
dc.language.iso eng tr_TR
dc.publisher IGI Global tr_TR
dc.relation.isversionof 10.4018/978-1-7998-1989-9.ch003 tr_TR
dc.rights info:eu-repo/semantics/restrictedAccess tr_TR
dc.subject Aspect-based sentiment analysis tr_TR
dc.subject Opinion mining tr_TR
dc.subject Home cooking tr_TR
dc.subject Restaurant tr_TR
dc.title Opinion mining in tourism: A study on ”Cappadocia home cooking” restaurant tr_TR
dc.type bookPart tr_TR
dc.relation.journal Handbook of Research on Smart Technology Applications in the Tourism Industry tr_TR
dc.contributor.department Nevşehir Hacı Bektaş Veli Üniversitesi/turizm fakültesi/turizm rehberliği bölümü/turizm rehberliği anabilim dalı tr_TR
dc.contributor.authorID 37095 tr_TR
dc.contributor.authorID 0000-0003-1172-5448 tr_TR
dc.identifier.startpage 43 tr_TR
dc.identifier.endpage 64 tr_TR


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