Big Data Analysis on Hotel Reviews

dc.contributor.advisor Özgür Özlük
dc.contributor.author Demir, Burcu
dc.date.accessioned 2021-12-14T11:21:13Z
dc.date.available 2021-12-14T11:21:13Z
dc.date.issued 2021
dc.description.abstract This 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.
dc.identifier.citation Demir, B. (2021). Big Data Analysis on Hotel Reviews. MEF Üniversitesi Fen Bilimleri Enstitüsü, Büyük Veri Analitiği Yüksek Lisans Programı. ss. 1-30
dc.identifier.uri https://hdl.handle.net/20.500.11779/1697
dc.language.iso en
dc.publisher MEF Üniversitesi Fen Bilimleri Enstitüsü
dc.rights info:eu-repo/semantics/openAccess
dc.subject Introduction, About the Data, Project Definition
dc.title Big Data Analysis on Hotel Reviews
dc.title.alternative Otel yorumları üzerinden büyük veri analitiği
dc.type Master's Degree Project
dspace.entity.type Publication
gdc.author.institutional Demir, Burcu
gdc.author.institutional Özlük, Özgür
gdc.coar.access open access
gdc.coar.type text::thesis::master thesis
gdc.description.department Lisansüstü Eğitim Enstitüsü, Büyük Veri Analitiği Yüksek Lisans Programı
gdc.description.publicationcategory YL-Bitirme Projesi
gdc.description.scopusquality N/A
gdc.description.startpage 1-30
gdc.description.wosquality N/A
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