9 citations · 12 across the 5 of their papers we have counts for
8 papers
Stance Detection and Open Research Avenues
Dilek Küçük, Fazli Can
This tutorial aims to cover the state-of-the-art on stance detection and address open research avenues for interested researchers and practitioners. Stance detection is a recent re…
Implicit Concept Drift Detection for Multi-label Data Streams
Ege Berkay Gulcan, Fazli Can
Many real-world applications adopt multi-label data streams as the need for algorithms to deal with rapidly changing data increases. Changes in data distribution, also known as con…
On-the-Fly Ensemble Pruning in Evolving Data Streams
Sanem Elbasi, Alican Büyükçakır, Hamed Bonab +1
Ensemble pruning is the process of selecting a subset of componentclassifiers from an ensemble which performs at least as well as theoriginal ensemble while reducing storage and co…
A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
Dilek Küçük, Fazli Can
Annotated datasets in different domains are critical for many supervised learning-based solutions to related problems and for the evaluation of the proposed solutions. Topics in na…
A Novel Online Stacked Ensemble for Multi-Label Stream Classification
Alican Büyükçakır, Hamed Bonab, Fazli Can
As data streams become more prevalent, the necessity for online algorithms that mine this transient and dynamic data becomes clearer. Multi-label data stream classification is a su…
Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data
Ethem F. Can, Aysu Ezen-Can, Fazli Can
Sentiment analysis is a widely studied NLP task where the goal is to determine opinions, emotions, and evaluations of users towards a product, an entity or a service that they are…