Abstract: This work presents an algorithm for filtering e-mail. In solving the problem applies linguistic signatures and text analysis. Content analysis involves base of linguistic laboratory, which updates regularly. After the message is analyzed, there is a choice of what to do with it: if it contains spam then it gets a special mark or just removes. If it doesn’t then the message passes on.

Keywords: spam filtering, the conditional probability, Bayes' theorem.