Hybrid feature selection for text classification

@inproceedings{Gnal2012HybridFS,
  title={Hybrid feature selection for text classification},
  author={Serkan G{\"u}nal},
  year={2012}
}
Feature selection is vital in the field of pattern classification due to accuracy and processing time considerations. The selection of proper features is of greater importance when the initial feature set is considerably large. Text classification is a typical example of this situation, where the size of the initial feature set may reach to hundreds or even thousands. There are numerous research studies in the literature offering different feature selection strategies for text classification… CONTINUE READING