1. A method for a computer apparatus for automatically generating a customer interaction log for an interaction between a customer and agent at a contact center comprising the steps of: receiving input comprising at least one spoken utterance from said customer and said agent and processing said received input to generate a call transcript; automatically analyzing said received input comprising analyzing at least said call transcript and, based on results of the analyzing, selecting at least a portion of the received input to generate a customer interaction log using at least one model; displaying said generated customer interaction log for agent review at a graphical user interface of an agent computer; receiving agent feedback to the displayed generated customer interaction log at said graphical user interface; and automatically updating said customer interaction log and said at least one model based on said agent feedback.
1. A method for a computer apparatus for automatically generating a customer interaction log for an interaction between a customer and agent at a contact center comprising the steps of: receiving input comprising at least one spoken utterance from said customer and said agent and processing said received input to generate a call transcript; automatically analyzing said received input comprising analyzing at least said call transcript and, based on results of the analyzing, selecting at least a portion of the received input to generate a customer interaction log using at least one model; displaying said generated customer interaction log for agent review at a graphical user interface of an agent computer; receiving agent feedback to the displayed generated customer interaction log at said graphical user interface; and automatically updating said customer interaction log and said at least one model based on said agent feedback. 4. The method of claim 1 wherein said automatically analyzing the received input to generate a customer interaction log further comprises at least one of: scoring utterances in received input based on at least one model; identifying selected utterances to be used in the customer interaction log; and correcting words in selected utterances.