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Browsing Yönetim Bilişim Sistemleri by Author "Durahim, Ahmet Onur."

Browsing Yönetim Bilişim Sistemleri by Author "Durahim, Ahmet Onur."

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  • A deep learning-based extractive text summarization system for Turkish news articles 
    Gündeş, Özcan. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2020., 2020.)
    The goal of this study is to develop an automated extractive summarization system for Turkish news using pre-trained language models. Pre-trained language models have been applied to wide range Natural Language Processing ...
  • A hybrid article recommendation system based on deep learning and co-publication network analytics 
    Atlanel, Büşra. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2019., 2019.)
    In recent years, with the rapid development of world wide web, researchers are spending more effort and time to reach the most relevant academic work for their studies because of the information overload. Preventing users ...
  • A social network analytics based recommendation system 
    Payal, Sedat. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2019., 2019.)
    In this thesis, different frameworks for a recommendation system based on social network analytics is investigated. In these frameworks, three different potential customer identification approaches are examined and ...
  • Extracting cryptocurrency trading signals from raw financial data using technical indicators and deep learning 
    Kalfa, Başak. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2020., 2020.)
    The purpose of this study is to investigate deep learning methods for predicting cryptocurrency, specifically Bitcoin, trading decisions considering different oversampling and augmentation methods, and using different ...
  • Identifying areas of specific interest of twitter users who tweet about cryptocurrencies 
    Sayın, Samet. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2019., 2019.)
    Social Networking Sites (SNSs) are online platforms in which users present their lifestyles and opinions, share information and news, and communicate with other users. SNSs have been the preferred source of information ...
  • Playing the Turkish game Okey with deep reinforcement learning 
    Uygun, İlke. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2019., 2019.)
    Games are important test beds for machine learning studies for over the last decades. Significant progress has been made in games such as Checkers, Chess, Go and Poker with the help of deep neural networks used for ...
  • Predicting stock movements with machine learning using textual data 
    Özdemir, Meryem. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2020., 2020.)
    Economic events perceive great attention from information retrieval community. As one of the popular practices, language models on economy related textual data are proven to be advantageous for anticipating economic events. ...
  • Predicting the Bitcoin trend using technical indicators for deep learning algorithmic features 
    İnce, Nuri Tuğkan. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2019., 2019.)
    This research focused on utilization of technical indicators for predicting the trend of Bitcoin/USD price with different deep learning algorithms. The goal was to achieve better trend prediction accuracy results using ...
  • Text classification via word embeddings: An application for Turkish music mood detection 
    Çimen, Barış. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2017., 2017.)
    The objective of this study is to bring an approach that incorporates word embeddings into Turkish text classification process, and to evaluate the applicability and performance of this approach by applying it for Turkish ...

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