Publication Type:

Journal Article

Source:

International Journal on Computer Science and Engineering, Engg Journals Publications, Volume 4, Number 5, p.938 (2012)

URL:

https://www.semanticscholar.org/paper/Question-Categorization-Using-SVM-Based-on-Term-Pillai/0147bb258233296d7e03664c0f5cc24320494d46#paper-header

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.