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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 ...
Predicting transaction numbers İn ATM
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
ATMs continue to be one of the most important channels for banks to touch their customers. They play an active role in life in terms of cash access and banking experience. The ability of a bank to predict the number of ...
Predicting birth defects
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Many couples are eager to have a healthy baby. For this reason, the pregnant woman is trying to take their baby through the steps of adjusting their lives during the pregnancy, such as healthy nutrition, organic life, ...
Flight delay prediction
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
This study aims to create a model to predict flight departure delays. Various factors might affect a flight delay, and thus different features might be selected as input to create a model concerning priorities and the power ...
Predicting customer perfection on brands functional near-infrared spectroscopy measurements
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
Customer perception on the brands have importance to give strategic decisions by marketing professionals. In classical ways, customer perception on brands are researched through conducting field surveys. Similarly, ...
Analyzing the drivers of customer satisfaction via social media
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
Social media became a great influence force during the last decade. Active social media user population increased with the new generations. Thus, data started to accumulate in tremendous amounts. Data accumulated through ...