Amir H Jadidinejad - Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Venus Marza - Department of Computer Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran

The original idea of semantic kernels is to use semantic features instead of terms appeared in the text document. In this article, the documents are transformed into a new k-dimensional feature space by applying Singular Value Decomposition on the Term-Document matrix and extracting

Semantic Kernel, Vector Space Kernel, Support Vector Machine, Dimensionality Reduction, Text Classification