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dc.contributor.advisorÖzgür Özlüken_US
dc.contributor.authorDemir, Burcu
dc.date.accessioned2021-12-14T11:21:13Z
dc.date.available2021-12-14T11:21:13Z
dc.date.issued2021en_US
dc.identifier.citationDemir, B. (2021). Big Data Analysis on Hotel Reviews. MEF Üniversitesi Fen Bilimleri Enstitüsü, Büyük Veri Analitiği Yüksek Lisans Programı. ss. 1-30en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11779/1697
dc.description.abstractThis analysis aims to get a regression model of the reviews and the score by the guests to observe the effects of the content of the reviews on scores. The content of the reviews is also suitable for a sentiment analysis. These analyses are useful indicators of the hotel sector to catch the market direction positively. In this analysis, clustering hotel-based reviews and customer segmentation based on the reviews will be the key point. Nationality of the guests will be helpful information of the guests to get them into the segmentation pool. The guest who wants to stay in the best hotel in Europe while their trip could choose the best hotel. They can conclude that selection by meeting their needs.en_US
dc.language.isoengen_US
dc.publisherMEF Üniversitesi Fen Bilimleri Enstitüsüen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectIntroduction, About the Data, Project Definitionen_US
dc.titleBig data analysis on hotel reviewsen_US
dc.title.alternativeOtel yorumları üzerinden büyük veri analitiğien_US
dc.typeYL-Bitirme Projesien_US
dc.departmentBüyük Veri Analitiği Yüksek Lisans Programıen_US
dc.identifier.startpage1-30en_US
dc.relation.publicationcategoryYL-Bitirme Projesien_US
dc.contributor.institutionauthorDemir, Burcu


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