best practices question

[David Relson]

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G'day,

I am aware of two ways of training and using bogofilter.

1 - Create good and spam word lists (using the '-h' and '-s' options).  Let 
bogofilter classify messages.  For incorrectly classified messages, feed 
them into the word lists (again using the '-h' and '-s' options).

2 - Create word lists (as above).  When a message is classified as spam, 
automatically merge it into the word list (using '-s').  This will expand 
the spam list by including words that have "appeared in a spam 
context".  For incorrectly classified messages, use the '-H' and '-S' 
options so that probabilities will shift from the wrong answer to the right 
answer.

What do y'all think is the best practice for handling word list updating?

David


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