INTELLIGENT FILTER FOR THE ELECTRONIC MESSAGES
Journal: International Scientific Journal "Internauka" (Vol.1, No. 23)Publication Date: 2017-01-31
Authors : Alekseyev Y.G.;
Page : 89-90
Keywords : spam filtering; the conditional probability; Bayes' theorem;
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.
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Last modified: 2017-03-02 18:30:05