spam filter

LDA based feature selection for spam filter

垃圾邮件处理中LDA特征选择方法

Nowadays, the main approach of spreading spam is in a letter form, so this thesis focuses on content-based indexing of spam filter.

目前以文字方式传播垃圾邮件还是主要的途径之一，因此本文研究的是基于内容检索的垃圾邮件过滤方法。

You can filter those automatically sent spam but you cannot filter personality spam, and what's worse is that the spammers think that every word in their updates is important information.

你可以采取措施将那些自动发送的垃圾信息过滤掉，但这样的个人垃圾信息却无法过滤。更糟糕的是，发布这些信息的人都认为自己发布的每个字都传递了重要的信息。

this spam filter still lets a lot of junk e-mail get through.

垃圾邮件过滤器。这个软件可以帮助电子邮件使用者，过滤掉大量寄发的垃圾电子邮件

Finally, the research current situation that the present domestic and international spam filters has been analyzed, including the Bayes algorithm based on statistical analysis that relatively prevails now, several kinds of spam of domain name, mail address black-and-white list way filter technology.

介绍了当前国内外垃圾邮件过滤的研究现状，对现在比较流行的基于统计分析的贝叶斯算法技术和基于IP地址、域名、邮件地址黑白名单方式的几种垃圾邮件过滤技术进行了分析。

Now the training of the spam filter works correctly when using IMAP mail accounts.

现在培训的垃圾邮件过滤器正常工作时,使用的是IMAP电子邮件帐户.