Research Article
A Feature Selection Approach Based on Interclass and Intraclass Relative Contributions of Terms
Input: training set , selected feature number | Output: top features in | () For each category | () Compute the total term frequency of all terms in category | () End For | () For each term | () Compute the total document frequency of a term in all categories | () For each category | () Compute the term frequency of a term in category | () Compute the document frequency of a term in category | () End For | () End For | () For each term | () For each category | () Compute the significance of a term in category | () End For | () End For | () For each term | () Compute the value of | () End For | () Rank all terms descendingly based on | () Selest top terms as features |
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