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Nick Lothian

Posts: 397
Nickname: nicklothia
Registered: Jun, 2003

Nick Lothian is Java Developer & Team Leader
More Bayesian Blog classification Posted: Jul 21, 2003 11:25 PM
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This post originated from an RSS feed registered with Java Buzz by Nick Lothian.
Original Post: More Bayesian Blog classification
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The more I use Classifier4J enabled version of NNTP//RSS, the more convinced I am that this is a useful innovation.

Now I've ironed out a few bugs in the initial version, I'm making it available for people to play with. Note this isn't an official NNTP//RSS release or patch, use at your own risk and all the bugs are mine and not Jason's. In particular the user interface for classification ("Tick a check-box if you like an article and press "Classify") is kind of crude. However, I am using it as my primary aggregator.


  1. Download and install NNTP//RSS version 0.3 from sourceforge.
  2. Download my patch.
  3. Unzip my patch over the top of the NNTP//RSS installation.
  4. Point your newsreader at NNTP//RSS. Train the classifier by going through a few blogs and classifying the articles.
  5. Marvel at how well something so simple works.

There is a slight performance hit everytime you read the a new blog in your newsreader for the first time - this is Classifier4J working. Items which are considered matches have [ClassifierMatch] appended to the subject line. An additional header "Match-Probability" is also provided which shows how well an item "matches".

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