34. The method of claim 27 , further comprising analyzing a telephonic communication associated with the electronic customer communication data, wherein analyzing the telephonic voice communication includes: receiving a telephonic communication between a first communicant to the telephonic communication and a second communicant to the telephonic communication; separating the telephonic communication into at least first constituent voice data, the first constituent voice data being generated by the first communicant and the second constituent voice data being generated by the second communicant; analyzing one of the separated first and second constituent voice data by mining the separated one of the first and second constituent voice data and applying a predetermined linguistic-based psychological behavioral model to the one of the separated first and second constituent voice data; and, generating behavioral assessment data including a personality type corresponding to the analyzed one of the separated first and second constituent voice data based on the analyzing of constituent voice data and based on behavioral assessment data for the electronic customer communication data.
34. The method of claim 27 , further comprising analyzing a telephonic communication associated with the electronic customer communication data, wherein analyzing the telephonic voice communication includes: receiving a telephonic communication between a first communicant to the telephonic communication and a second communicant to the telephonic communication; separating the telephonic communication into at least first constituent voice data, the first constituent voice data being generated by the first communicant and the second constituent voice data being generated by the second communicant; analyzing one of the separated first and second constituent voice data by mining the separated one of the first and second constituent voice data and applying a predetermined linguistic-based psychological behavioral model to the one of the separated first and second constituent voice data; and, generating behavioral assessment data including a personality type corresponding to the analyzed one of the separated first and second constituent voice data based on the analyzing of constituent voice data and based on behavioral assessment data for the electronic customer communication data. 35. The method of claim 34 , wherein at least one of the first and second constituent voice data is aggregated with the electronic communication data, and a text file is generated from aggregated data for applying the predetermined linguistic-based psychological behavioral model.