15. A method according to claim 10 , further comprising: comparing one of the uncoded documents in one of the clusters to the reference documents and generating a neighborhood comprising a predetermined number of the reference documents that are most similar to the uncoded document based on the comparison of the uncoded document to the reference documents; and suggesting one of the classification codes for assignment to the uncoded document based on the classification codes of the reference concepts in the neighborhood.
17. A method according to claim 15 , further comprising: determining a distance between the uncoded document and the reference documents in the neighborhood; and generating the suggested classification code for the uncoded document, comprising at least one of: identifying the reference document with the closest distance to the uncoded document and assigning the classification code of the reference document with the closest distance as the suggested classification code for the uncoded document; calculating an average of the distances between the uncoded document and the reference documents associated with each of the classification codes and assigning the classification code with the closest average distance as the suggested classification code of the uncoded document; and counting the reference documents in the neighborhood for each of the classification codes, weighing each count based on the distance between the reference documents with the classification code and the uncoded document, and assigning the classification code with the highest weighted count as the classification code of the uncoded document.