Comparison of text feature selection policies and using an adaptive framework

@article{Tasci2013ComparisonOT,
  title={Comparison of text feature selection policies and using an adaptive framework},
  author={Serafettin Tasci and Tunga G{\"u}ng{\"o}r},
  journal={Expert Syst. Appl.},
  year={2013},
  volume={40},
  pages={4871-4886}
}
Text categorization is the task of automatically assigning unlabeled text documents to some predefined category labels by means of an induction algorithm. Since the data in text categorization are high-dimensional, often feature selection is used for reducing the dimensionality. In this paper, we make an evaluation and comparison of the feature selection policies used in text categorization by employing some of the popular feature selection metrics. For the experiments, we use datasets which… CONTINUE READING
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