8. The method of claim 7 , further comprising: selecting a most relevant example of the reclassified test documents from among the reclassified test documents; displaying, using the display of the computer, the most relevant example of the reclassified test documents to the user; receiving, via the computer and from the user, a confirmation or a negation of a classification label of the most relevant example of the reclassified test documents; and storing the confirmation or the negation of the classification label of the most relevant example of the reclassified test documents to the memory of the computer; and generating a new binary decision model by training the binary classifier using the plurality of training documents and the confirmation or the negation of the classification label of the most relevant example of the reclassified test documents.
8. The method of claim 7 , further comprising: selecting a most relevant example of the reclassified test documents from among the reclassified test documents; displaying, using the display of the computer, the most relevant example of the reclassified test documents to the user; receiving, via the computer and from the user, a confirmation or a negation of a classification label of the most relevant example of the reclassified test documents; and storing the confirmation or the negation of the classification label of the most relevant example of the reclassified test documents to the memory of the computer; and generating a new binary decision model by training the binary classifier using the plurality of training documents and the confirmation or the negation of the classification label of the most relevant example of the reclassified test documents. 9. The method of claim 8 , further comprising iteratively repeating, in a loop, the reclassifying, the selecting, the displaying, the receiving, the storing; and the generating; and terminating the iterative loop in response to receiving an indication that sufficient relevant examples have been labeled.