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Question categorization using SVM based on different term weighting methods

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)

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

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.


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