问题
I was wondering if there is any good and clean object-oriented programming (OOP) implementation of Bayesian filtering for spam and text classification? This is just for learning purposes.
回答1:
I definitely recommend Weka which is an Open Source Data Mining Software written in Java:
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
As mentioned above, it ships with a bunch of different classifiers like SVM, Winnow, C4.5, Naive Bayes (of course) and many more (see the API doc). Note that a lot of classifiers are known to have much better perfomance than Naive Bayes in the field of spam detection or text classification.
Furthermore Weka brings you a very powerful GUI…
回答2:
Check out Chapter 6 of Programming Collective Intelligence
回答3:
Maybe https://ci-bayes.dev.java.net/ or http://www.cs.cmu.edu/~javabayes/Home/node2.html?
I never played with it either.
回答4:
Here is an implementation of Bayesian filtering in C#: A Naive Bayesian Spam Filter for C# (hosted on CodeProject).
回答5:
nBayes - another C# implementation hosted on CodePlex
回答6:
In French, but you should be able to find the download link :) PHP Naive Bayesian Filter
来源：https://stackoverflow.com/questions/1083/object-oriented-bayesian-spam-filtering