贝叶斯Python垃圾邮件过滤库 [英] Bayesian spam filtering library for Python

问题描述

我正在寻找一个执行贝叶斯垃圾邮件过滤的Python库.我查看了SpamBayes和OpenBayes，但似乎都没有得到维护(我可能错了).

I am looking for a Python library which does Bayesian Spam Filtering. I looked at SpamBayes and OpenBayes, but both seem to be unmaintained (I might be wrong).

有人可以建议一个实现贝叶斯垃圾邮件过滤的优秀Python(或Clojure，Common Lisp，甚至Ruby)库吗?

Can anyone suggest a good Python (or Clojure, Common Lisp, even Ruby) library which implements Bayesian Spam Filtering?

谢谢.

说明:我实际上是在寻找贝叶斯垃圾邮件分类器，而不一定是垃圾邮件过滤器.我只想使用一些数据来训练它，然后告诉我某些给定的数据是否为垃圾邮件.抱歉造成任何混乱.

Clarification: I am actually looking for a Bayesian Spam Classifier and not necessarily a spam filter. I just want to train it using some data and later tell me whether some given data is spam. Sorry for any confusion.

推荐答案

您是否要进行垃圾邮件过滤或贝叶斯分类?

Do you want spam filtering or Bayesian classification?

对于贝叶斯分类，有许多Python模块.我最近刚刚查看了橙色，它看起来非常令人印象深刻. R具有许多贝叶斯模块.您可以使用 Rpy 挂接到R.

For Bayesian classification there are a number of Python modules. I was just recently reviewing Orange which looks very impressive. R has a number of Bayesian modules. You can use Rpy to hook into R.

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