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Citation - Scopus: 4
An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers
(Springer Verlag, 2012) Husaini, Mus'ab; Koçyiğit, Ahmet; Tapucu, Dilek; Yanıkoğlu, Berrin; Saygın, Yücel
In this demo paper, we present SARE, a modular and extendable semi-automatic system that 1) assists researchers in building gold-standard lexicons and evaluating their lexicon extraction algorithms; and 2) provides a general and extendable sentiment analysis environment to help researchers analyze the behavior and errors of a core sentiment analysis engine using a particular lexicon.
Citation - WoS: 2
Citation - Scopus: 5
Machine Learning Based Learner Modeling for Adaptive Web-Based Learning
(Springer Verlag, 2007) Aslan, Burak Galip; İnceoğlu, Mustafa Murat
Especially in the first decade of this century, learner adapted interaction and learner modeling are becoming more important in the area of web-based learning systems. The complicated nature of the problem is a serious challenge with vast amount of data available about the learners. Machine learning approaches have been used effectively in both user modeling, and learner modeling implementations. Recent studies on the challenges and solutions about learner modeling are explained in this paper with the proposal of a learner modeling framework to be used in a web-based learning system. The proposed system adopts a hybrid approach combining three machine learning techniques in three stages.

Computer Engineering / Bilgisayar Mühendisliği