3. The method of claim 1 , further comprising: calculating, in real-time during the conversation, an agent emotion score for every second that the agent is speaking; calculating, in real-time during the conversation, a frequency at which calculated agent emotion scores equal or exceed the emotion score threshold during the specified time interval; comparing, in real-time during the conversation, the calculated frequency for the agent to the plurality of specified frequency thresholds; displaying, in real-time on the display screen of the agent station during the conversation, a visual representation corresponding to a highest of the plurality of specified frequency thresholds that is equaled or exceeded by the calculated frequency for the agent.
3. The method of claim 1 , further comprising: calculating, in real-time during the conversation, an agent emotion score for every second that the agent is speaking; calculating, in real-time during the conversation, a frequency at which calculated agent emotion scores equal or exceed the emotion score threshold during the specified time interval; comparing, in real-time during the conversation, the calculated frequency for the agent to the plurality of specified frequency thresholds; displaying, in real-time on the display screen of the agent station during the conversation, a visual representation corresponding to a highest of the plurality of specified frequency thresholds that is equaled or exceeded by the calculated frequency for the agent. 4. The method of claim 3 , further comprising: storing, in a memory, the calculated agent emotion scores; generating, in real-time during the conversation, an emotion event whenever the calculated frequency, at which calculated agent emotion scores equal or exceed the emotion score threshold value, equals or exceeds one of the plurality of specified frequency thresholds; and storing, in the memory, all generated emotion events for the agent.