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Question naive Bayesian spam filter

I plan to implement a spam filter using a naive Bayesian classification.

On the Internet, I see a lot of information about the naive Bayesian classification, but the problem is that this is a lot of mathematical material, than it is clear how this is done. And the problem is that I am more a programmer than a mathematician (yes, I learned about probability and the Bayesian theorem at school, but for a long time I’m not connected, and I don’t have the luxury to teach it now (have about 3 weeks to create a working prototype)).

So, if someone can explain or show me the place where they explained it to programmers than mathematicians, that would be a big help.

PS: By the way, I have to implement it in C if you want to know. :(

Regards, Microkernel

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5 answers

Programming Collective Intelligence contains a chapter on this and other methods. A chapter (No. 6) can be understood without reference to previous chapters, written clearly and discussed only the minimal mathematics needed to complete this work.

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You can try this website . He got the source code.

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I highly recommend the Andrew Moore tutorials , and I think you should start with this one .

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You can also watch POPFile , an open source spam filtering mechanism.

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Source: https://habr.com/ru/post/1306622/

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