Publication Type : Journal Article
Publisher : Engg Journals Publications
Source : International Journal on Computer Science and Engineering, Engg Journals Publications, Volume 4, Number 5, p.938 (2012)
Campus : Amritapuri
School : School of Engineering
Department : Computer Science
Verified : No
Year : 2012
Abstract : This paper deals with the performance of Question Categorization based on four different term weighting methods. Term weighting methods such as tf*idf, qf*icf, iqf*qf*icf and vrf together with SVM classifier were used for categorization. From the experiments conducted using both linear and nonlinear SVM, term weighting method iqf*qf*icf showed better performance in question categorization than other methods.
Cite this Research Publication : P. G. Pillai and Jayasree Narayanan, “Question categorization using SVM based on different term weighting methods”, International Journal on Computer Science and Engineering, vol. 4, p. 938, 2012.