System and method for Bayesian text classification

摘要

A method for classifying text comprises receiving data containing text and parsing a plurality of tokens out of the text. A plurality of metatokens are generated for each token, wherein the metatokens comprise strings of text and groupings of strings of text. The method further comprises calculating a probability that the data falls into a certain category, using the tokens and metatokens. The probability is compared to a threshold value and the data is classified into the certain category if the probability is greater than the threshold value.