Hello All,
I have installed the SenseClusters family of tools on CentOS and reviewed the
materials (including the long video seminar in Italy lead by the author).
I am trying to compare the performance of SenseClusters to the simple Perl
Algorithm::NaiveBayes here:
http://search.cpan.org/~kwilliams/Algorithm-NaiveBayes-0.04/lib/Algorithm/NaiveBayes.pm
Although I've read through the SenseClusters material and looked at a few
samples, I fear I'm out of my depth.
What I would like to do seems simple, but I don't see it laid out in the
instructions (which are actually quite thorough..thanks).
I would like to learn how I can train SenseClusters to a recognize a given list
of subjects from the same training set I'm using with my Naïve Bayes
implementation. That way I can compare the performance against my test set to
determine how much better SenseClusters performs compared to simple methods.
If there are instructions you can point me to, or advice you can provide, that
would be much appreciated.
Thanks.
Pete Rail, [email protected]
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