27. A computer implemented method for classifying documents comprising the steps of: identifying one or more initial documents, identifying one or more initial document terms within the one or more initial documents, recording relative frequencies of the one or more initial document terms, providing a threshold, wherein the threshold is a set frequency of the one or more initial document terms in the one or more initial documents, determining whether the relative frequencies of the one or more initial document terms meet the threshold, adding one or more initial document terms that meet the threshold to a lexicon wherein the one or more initial document terms become one or more lexicon topics, assigning an individual weight to each of the one or more lexicon topics, comparing one or more additional document terms from one or more additional documents with the one or more lexicon topics, determining which, if any, of the one or more additional document terms match the one or more lexicon topics, recording the matched terms and weights associated with the corresponding lexicon topic, calculating a score for each of the one or more lexicon topics using the weights, outputting a result of the calculating step, and calculating additional moments based upon relative distances of subsequent terms matched with additional terms whose moment meets the requirements of the threshold.
27. A computer implemented method for classifying documents comprising the steps of: identifying one or more initial documents, identifying one or more initial document terms within the one or more initial documents, recording relative frequencies of the one or more initial document terms, providing a threshold, wherein the threshold is a set frequency of the one or more initial document terms in the one or more initial documents, determining whether the relative frequencies of the one or more initial document terms meet the threshold, adding one or more initial document terms that meet the threshold to a lexicon wherein the one or more initial document terms become one or more lexicon topics, assigning an individual weight to each of the one or more lexicon topics, comparing one or more additional document terms from one or more additional documents with the one or more lexicon topics, determining which, if any, of the one or more additional document terms match the one or more lexicon topics, recording the matched terms and weights associated with the corresponding lexicon topic, calculating a score for each of the one or more lexicon topics using the weights, outputting a result of the calculating step, and calculating additional moments based upon relative distances of subsequent terms matched with additional terms whose moment meets the requirements of the threshold. 28. The method of claim 27 , further comprising updating the weights based upon relative frequencies of the one or more additional document terms in the one or more additional documents.