7. At least one non-transitory computer readable medium containing a computer program product for reducing false classifications during Bayesian filtering, the computer program product comprising: program code for, within a context of Bayesian filtering, analyzing content of at least one document to be classified; program code for determining whether more than a threshold amount of the content of the at least one document is known, wherein the program code for determining whether more than a threshold amount of the content of the at least one document is known further comprises program code for performing at least one step from a group of steps consisting of: determining a percentage of words of the at least one document that are known from Bayesian filter training; and determining a percentage of a maximum correction value utilized during Bayesian filtering of the at least one document; and program code for classifying the document responsive to results of the determination.
8. The computer program product of claim 7 wherein the program code for classifying the document responsive to results of the determination further comprises program code for performing a step from a group of steps consisting of: responsive to determining that more than a threshold amount of the content of the document is not known, classifying the document as being of an unknown type; and responsive to determining that less than a threshold amount of the content of the document is not known, classifying the document according to results of standard Bayesian filtering.