14. A non-transitory computer readable storage medium configured to store instructions that when executed cause a processor to perform: transcribing via a processor at least a portion of a plurality of spoken utterances occurring during a call; automatically assigning each of the plurality of spoken utterances with a corresponding set of first classifications; determining a confidence rating associated with each of the plurality of spoken utterances and the assigned set of first classifications; and performing at least one of reclassifying the plurality of spoken utterances with new classifications based on at least one additional classification operation, and adding the assigned first classifications and the corresponding plurality of spoken utterances to a training data set.
14. A non-transitory computer readable storage medium configured to store instructions that when executed cause a processor to perform: transcribing via a processor at least a portion of a plurality of spoken utterances occurring during a call; automatically assigning each of the plurality of spoken utterances with a corresponding set of first classifications; determining a confidence rating associated with each of the plurality of spoken utterances and the assigned set of first classifications; and performing at least one of reclassifying the plurality of spoken utterances with new classifications based on at least one additional classification operation, and adding the assigned first classifications and the corresponding plurality of spoken utterances to a training data set. 20. The non-transitory computer readable storage medium of claim 14 , wherein the processor is further configured to perform: updating a production classifier used to perform classification operations by adding the new classifications to a training database; and repeating the transcribing, via the processor, of the at least a portion of the plurality of spoken utterances occurring during the call; repeating the automatic assigning of each of the plurality of spoken utterances with the corresponding set of first classifications; repeating the determining of the confidence rating associated with each of the plurality of spoken utterances and the assigned set of first classifications; and repeating the performing of the at least one of the reclassifying the plurality of spoken utterances with the new classifications based on the at least one additional classification operation, and adding the assigned first classifications and the corresponding plurality of spoken utterances to the training data set.