Toraman, C., & Can, F. (2017). Discovering story chains: A framework based on zigzagged search and news actors. Journal of the Association for Information Science and Technology, 68(12), 2795-2808.
Toraman, C., & Can, F. (2015). A front-page news-selection algorithm based on topic modelling using raw text. Journal of Information Science, 41(5), 676-685.
Selected Conference Publications:
Toraman, C. Early Prediction of Public Reactions to News Events Using Microblogs. Seventh BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2017), Barcelona, Spain, 5 September 2017.
Toraman, C. News selection with topic modeling. Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013), Granada, Spain, 3 September 2013.
Toraman, C., Can, F. Squeezing the Ensemble Pruning: Faster and More Accurate Categorization for News Portals. In Proceedings of the 34th European conference on Advances in Information Retrieval (ECIR'12). Springer-Verlag, Berlin, Heidelberg, 508-511.
Toraman, C., Can, F. Ensemble Pruning for Text Categorization Based on Data Partitioning. In Proceedings of the 7th Asia conference on Information Retrieval Technology (AIRS'11). Springer-Verlag, Berlin, Heidelberg, 352-361.
Toraman, C., Can, F., Kocberber, S. Developing a text categorization template for Turkish news portals. 2011 International Symposium on Innovations in Intelligent Systems and Applications (INISTA'11), vol., no., pp.379-383, 15-18 June 2011