16. The computer system of claim 15 wherein the zero count value further comprises a special value to use during Bayesian filtering for words not encountered during Bayesian filter training, the computer system further comprising: a portion for calculating the zero count value as a natural logarithm of one divided by the number of words in the training data set multiplied by a constant.
15. The computer system of claim 13 wherein the portion for determining a percentage of a maximum correction value utilized during Bayesian filtering of the at least one document further comprises: a portion for calculating the maximum correction value for the at least one document as a function of a zero count value and a number of words in the at least one document; and a portion for calculating a percentage of the maximum correction value utilized during Bayesian filtering of the at least one document as a function of a correction value utilized during Bayesian filtering of the at least one document and the maximum correction value for the at least one document.