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Kung Fu

Fujian White Crane Kung Fu

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Blogs
  Playing with Reverend Bayesian - 18th of October 2005

I've been playing around with Reverend a bit on getting it to correctly guess appropriate "Sections" for issues on the Real issuetracker. What I did was that I downloaded all 140 issuetexts and their "Sections" attribute which is a list (that is often of length 1). From list dataset I did a loop over each text and the sections within it (skipped the default section General) so something like this:

 data = ({'sections':['General','Installation'], 
          'text':"bla bla bla..."}
         {'sections':['Filter functions'], 
          'text':"Lorem ipsum foo bar..."}
         ...)
 for item in data:
     secs = [each for each item['sections'] if each != 'General']
     for section in secs:
         guesser.train(section, item['text'])