1. A method for classifying text, comprising: receiving data containing text; parsing a plurality of tokens out of the text; generating a plurality of metatokens comprising information regarding the position of the plurality of tokens within the text from which the plurality of tokens were parsed; calculating a first probability that the data falls into a category based on the plurality of tokens; calculating a second probability that the data falls into the category based on the plurality of metatokens; determining a third probability that the data falls into the category based on the first probability and the second probability; comparing the third probability to a threshold value; and classifying the data into the certain category if the third probability is greater than the threshold value.