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Understandng emotion fluctuations using social media
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
During the last years, the importance of social media is increasing in an amazing way. In this paper, we looked at one such popular microblog platform called Twitter and build models for classifying “tweets” into some ...
Churn prediction of a deal e-commerce website customers
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
Today, there is a lot of deal e-commerce sites which are essentially marketplaces. They provide deals which are offered by merchandisers. Because of the nature of these sites there is no subscription model; customers ...
Development and comparison of prediction models for estimating short term energy demand of a hotel building
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
This project presents a machine learning model building approach to developing a model for predicting next hour electricity consumption of a hotel complex in Cyprus, with the aim of improving existing prediction accuracy ...
Market analysis - Aydınlı Group
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
In this paper, we have analyzed the purchase transaction data of Aydınlı Group. Aydınlı offers their customers diverse set of products by providing Polo, Cacharel and Pierre Cardin brands on both retail and online store. ...
Predictive cahce management
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
Major dependency of a mobile application performance is the response time of backend services. Building a cache layer can be a solution in architectural way to provide better experience to user but it cannot affects when ...
Sentiment analysis of Hürriyet Emlak
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
Sentiment analysis refer to the task of natural language processing to determine whether a piece of text contains some subjective information and what subjective information it expresses, whether the attitude behind a text ...
Underlying the bias for human music evaluation
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
Predictive analysis is the process of using data analytics to predict the future over historical data. Data analytics is the use of statistical modelling and / or machine learning methods to measure the future. In short, ...
Hotel recommendation for online travel agencis
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
Since the early 2000s, online travel agencies (OTAs) have become a central online market source, used by millions of users in all over the world. Recommendation systems became one of the essential tools for them to increase ...
Online check-ın likelihood of hotel guests
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
Hotel operators benefit from current technological developments in order to provide the best experience for their guests to stay. In the case of an enterprise which providing guest hospitality service, the flow is composed ...
Chuen analysis of Gittigidiyor customers
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
In this project, it is aimed to estimate the loyalty of the customers of the e-commerce company named GittiGidiyor by analzying the customer movements and examined which movements affected the customer loyalty positively ...