Yüksek Lisans Tezleri

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1785

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Author: search.filters.author.Demir, BurcuInstitution Author: search.filters.institutionAuthor.Demir, Burcu

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  • Master Term Project
    Big Data Analysis on Hotel Reviews
    (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021) Demir, Burcu; Özgür Özlük
    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.