title: Feature Selection for Text Classification in Python
body: <p>I am working on a text classification problem in python using Random Forests from the scikit-learn library. I would like to try different features selection methods, such as Information Gain (IG) or Bi-Normal Separation (BNS), as described in this <a href="http://www.aclweb.org/anthology/P/P09/P09-1078.pdf" rel="nofollow">paper</a>.</p>
  
  <p>It seems that the only available feature selection methods available in scikit for feature selection (using the CountVectorizer class), is based on document frequency. Are other methods available in other libraries?</p>