17. The physical computer program product of claim 15 further comprising executable computer readable program code for implementing the steps of: analyzing the separated second constituent voice data, the step of analyzing comprising: applying a non-linguistic based analytic tool to the separated second constituent voice data and for generating phone event data corresponding to the analyzed second constituent voice data; translating the second constituent voice data into text format and storing the translated text of the second voice data in a second text file; applying a predetermined linguistic-based psychological behavioral model to the translated text of the second constituent voice data in the second text file, the step of applying the predetermined linguistic-based psychological behavioral model the comprising: mining the translated text of the second constituent voice data by automatically identifying at least one of a plurality of behavioral signifiers in the translated text of the second constituent voice data, the at least one behavioral signifier being associated with the psychological behavioral model; and, automatically associating the identified behavioral signifiers with at least one of a plurality of personality types associated with the psychological behavioral model; generating at least one of either behavioral assessment data including a personality type and distress assessment data based on the analyzed second voice data; a code segment for generating call assessment data by comparatively analyzing the behavioral assessment data and distress assessment data corresponding to the analyzed first voice data and the behavioral assessment data and distress assessment data corresponding to the analyzed second voice data; and, outputting event data, the event data comprising call assessment data corresponding to at least one identifying indicia and at least one predetermined time interval.
17. The physical computer program product of claim 15 further comprising executable computer readable program code for implementing the steps of: analyzing the separated second constituent voice data, the step of analyzing comprising: applying a non-linguistic based analytic tool to the separated second constituent voice data and for generating phone event data corresponding to the analyzed second constituent voice data; translating the second constituent voice data into text format and storing the translated text of the second voice data in a second text file; applying a predetermined linguistic-based psychological behavioral model to the translated text of the second constituent voice data in the second text file, the step of applying the predetermined linguistic-based psychological behavioral model the comprising: mining the translated text of the second constituent voice data by automatically identifying at least one of a plurality of behavioral signifiers in the translated text of the second constituent voice data, the at least one behavioral signifier being associated with the psychological behavioral model; and, automatically associating the identified behavioral signifiers with at least one of a plurality of personality types associated with the psychological behavioral model; generating at least one of either behavioral assessment data including a personality type and distress assessment data based on the analyzed second voice data; a code segment for generating call assessment data by comparatively analyzing the behavioral assessment data and distress assessment data corresponding to the analyzed first voice data and the behavioral assessment data and distress assessment data corresponding to the analyzed second voice data; and, outputting event data, the event data comprising call assessment data corresponding to at least one identifying indicia and at least one predetermined time interval. 18. The physical computer program product of claim 17 , wherein the predetermined linguistic-based psychological behavioral model is the Process Communication Model®.