目前最好的垃圾邮件过滤算法 [英] Currently best spam filter algorithm

问题描述

什么是检测垃圾邮件目前最好的方法是什么？尤其是在手机短信。 是否有任何资源或比较分析？

What is the currently best method to detect spam ? especially on mobile text message. are there any resource or comparison analysis ?

推荐答案

这是很好的寻找到监督学习技术。目前已经大量的研究，其中多项朴素贝叶斯分类器已经被用于垃圾邮件过滤了很多的成功。如果它为垃圾邮件过滤功能，那么它应该与短信过滤。你需要的是的例子垃圾短信文本巨大的数据集和训练分类吧。

It's good to look into supervised learning techniques. There've been a number of studies where the Multinomial Naive Bayes Classifier has been used for spam email filtering with a lot of success. If it worked for spam email filtering, then it should work with SMS filtering. What you need is a huge dataset of example spam SMS texts and train the classifier with it.

另外，也可以是有帮助的窥视支持向量机，其中;虽然少了广泛的垃圾邮件过滤使用;是一个更强大的技术。

Also, it may be helpful to look into the Support Vector Machine, which; although less widely used in spam filtering; is a much more powerful technique.

另外，刚训练算法上的原始文字可能不完全是向前迈进的最佳途径。有一项研究迈赫兰Sahami从1998年发现，他们实现的时候，他们采取了其他启发式考虑（如发送到邮件列表的电子邮件？是从在任一埃杜结束了一个域名发送的电子邮件性能优越，。com，。org进行？做了电子邮件包含多个标点符号（！）？，等等）。

Also, just training the algorithms on raw text may not quite be the best way forward. There was a study by Mehran Sahami from 1998 that found that they achieved superior performance when they took other heuristics into consideration (e.g. was the email sent to a mailing list? was the email sent from a domain name that ended in either ".edu",".com",".org"? did the email contain multiple punctuation marks ("!!!")?, and so forth).

但随着多项朴素贝叶斯分类器开始。这很容易实现，这是非常容易使用，并且从个人的经验：它有一个很短的训练时间，以及

But start off with the Multinomial Naive Bayes Classifier. It's very simple to implement, and it's very easy to use, and from personal experience: it has a very short training time, as well.

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