title: classification using lingpipe
body: <p>As a part of my academic research project, I am trying to build an application wherein I will have a set of urls retrieved from the web. The task is classify each of these urls into some category.</p>
  
  <p>For Instance, the following URL is regarding cricket <a href="http://www.espncricinfo.com/icc_cricket_worldcup2011/content/current/story/499851.html" rel="nofollow">http://www.espncricinfo.com/icc_cricket_worldcup2011/content/current/story/499851.html</a> 
  If I give this particular URL to the classifier, it should give the output category as "Sports".</p>
  
  <p>For this I am using the lingpipe classifier. I have followed the classification tutorial and ran the demo present in the demo folder. I have downloaded 20 news data set downloaded from the following link.
  <a href="http://people.csail.mit.edu/people/jrennie/20Newsgroups" rel="nofollow">http://people.csail.mit.edu/people/jrennie/20Newsgroups</a></p>
  
  <p>Later, I have decreased the training sample size from 20 to 8 and have run the classification demo. It could successfully train the data and could test the data also. </p>
  
  <p>But the thing is that, do I need to train the classifier every time I want to test the category of documents?
  If I run the classification of documents it takes 4 minutes for both training and testing the data. </p>
  
  <p>Can I store the trained data once and perform the classification several times?</p>