5. The method of claim 3 , further comprising: said IR engine evaluating one or more rules to score every received unlabeled document against said scoring model; and based on rules that hit each text data point, giving each such data point a score for each of said predefined hierarchical categories; wherein a data matrix is produced for each level in a category tree.
6. The method of claim 5 , further comprising: a classifier receiving said data matrix for each level in a category tree; said classifier using at least one classification algorithm to label said data matrices, wherein said labeled data matrices yield labeled documents that comprise cleansed, transformed, and structured representations of an original, transcribed or typed and unstructured text interaction history.