DARG - IZTECH

Data Analytics Research Group (DARG) works in the general area of Knowledge Discovery and Data Mining (KDD) with a focus on:

Semantic representations and relations in NLP.

Overlapping community detection.

Representing and measuring high-level information characteristics such as coherence, credibility, and trust.

Text mining.

News Analysis.

Data mining and fusion applications that support information warfare capabilities and facilities.



People


Faculty

Asst. Prof. Dr. Selma TEKİR



Graduate Students


PhD Students


Erhan SEZERER

Damla YAŞAR


MSc Students


Abdullah Asil ATAY

Nima GHOTBI

Özgür CAN

Berkay CAN

Ozan POLATBİLEK


Completed Master's Theses


"News Story Analysis with Credibility Assessment by Opinion Mining" by Erhan SEZERER


"A Lattice-based Approach for News Chain Construction" by Mustafa TOPRAK


"Finding out Subject-matter Experts and Research Trends using Bibliographic Data" by Arzum KARATAŞ


"Sales History-based Demand Prediction by using Generalized Linear Models" by Başar ÖZENBOY


"Spatio-Temporal Modelling of Documents" by Damla YAŞAR


"A Systematic Evaluation of Semantic Representations in Natural Language Processing" by Özge SEVGİLİ


Ongoing Theses


"Identifying Communities using Collaboration and Word Association Networks in Turkish Social Media" by Abdullah Asil ATAY


"Measurement and Evaluation of User Expertise through Topic Modeling" by Nima GHOTBİ


"Automatic Story Generation from News Chains using Deep Learning Techniques" by Damla YAŞAR


"Detection of Overlapping Communities in Document Association Networks" by Özgür CAN


"A Bayesian Approach for Question Generation and Answering" by Berkay CAN










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