1. A computer assisted/implemented method for developing a classifier for classifying communications comprising the steps of: (a) presenting communications to a user for labeling as relevant or irrelevant, the communications being selected from groups of communications including: a training set group of communications, the training set group of communications being selected by a traditional active learning algorithm; a system-labeled set of communications previously labeled by the system; a test set group of communications, test set group of communications for testing the accuracy of a current state of the classifier being developed by the present method; a faulty set of communications suspected to be previously mis-labeled by the user; and a random set of communications previously labeled by the user; (b) developing a classifier for classifying communications based upon the relevant/irrelevant labels assigned by the user during the presenting step.