Question Categorization Using SVM Based on Different Term Weighting Methods

Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 5

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.

Authors and Affiliations

Priyanka G Pillai , Jayasree Narayanan

Keywords

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  • EP ID EP140382
  • DOI -
  • Views 103
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How To Cite

Priyanka G Pillai, Jayasree Narayanan (2012). Question Categorization Using SVM Based on Different Term Weighting Methods. International Journal on Computer Science and Engineering, 4(5), 938-944. https://europub.co.uk./articles/-A-140382