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Practical and theoretical aspects of software development

Using a Naive Bayes classifier for user submitted content

I’ve enjoyed building a Naive Bayes classifier to classify user submitted content at Manta. I wrote a post about how one might implement this on Manta’s engineering blog. I’m giving a colloquium on this at Wittenberg University today, and the slides to that talk are available after the jump.


If you are interested in machine learning at all, I think that a Naive Bayes classifier is a really good place to start, especially if you have half a semester’s understanding of probability.


Written by Eric Wilson

October 1, 2012 at 1:21 pm

Posted in commentary

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