12. The method as recited in claim 7 , further comprising outputting a post communication summary based at least in part on statistics generated from at least the one or more attributes of the conversation.
7. A method, comprising: electronically accessing, by one or more computing devices, a conversation between participants, the participants including a first participant and a second participant; tracking, by at least one of the one or more computing devices, attributes of the conversation, one or more attributes of the attributes quantifying one or more aspects of the conversation based at least in part on one or more words used by the participants; determining, by the at least one of the one or more computing devices, mood imagery based at least in part on the one or more attributes, the mood imagery indicating an estimation of a state of mind of the first participant during a time period of the conversation; determining, by the at least one of the one or more computing devices, that the mood imagery includes a facial expression, the facial expression being selected from a plurality of facial expressions based at least in part on analyzing the one or more attributes and the facial expression being associated with the estimation of the state of mind of the first participant; generating, by the at least one of the one or more computing devices, a first time series graph indicating a measured element associated with the one or more attributes, the one or more attributes including at least one of a volume, a pitch, or a speed of spoken words of at least the second participant; generating, by the at least one of the one or more computing devices, a second time series graph indicating a score for the second participant, the score based at least in part on aggregating the attributes, the attributes including the volume, the pitch, and the speed of the spoken words; generating, by the at least one of the one or more computing devices, a coaching tip for the second participant based at least in part on analyzing the one or more attributes of the conversation, wherein the coaching tip includes a suggestion to at least one of decrease a rate of speech, or use a word or utterance less frequently; determining, by the at least one of the one or more computing devices, that the coaching tip is to be provided to the second participant; and determining, by the at least one of the one or more computing devices and based at least in part on the one or more attributes, a visual output representing a segment of the conversation, the first time series graph, the second time series graph, and the mood imagery, wherein the mood imagery includes the facial expression being updated in real-time or near real-time based at least in part on a change of the estimation of the state of mind of the first participant.