System and method for text analysis and routing of written communication

1. A method for text analysis for routing of written communications to a customer service agent, comprising:

receiving a written communication from outside a customer engagement center system;

in a text analytics service software module on a text analytics service unit, generating a sentiment of the written communication, a tone of the written communication, a meaning of the written communication, an intent of the written communication, and a threat indication, based on a textual analysis of content of the incoming written communication, wherein the threat indication is an indication of a presence of threats in the written communication, further wherein the intent of the written communication is a list of action points ordered by importance;

passing the written communication and the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication from the text analytics service unit to a smart routing engine;

analyzing, by the smart routing engine, the generated sentiment, the generated tone, the generated meaning, the generated intent, the generated threat indication, and a set of predetermined criteria to assign a customer service representative to receive the incoming written communication, wherein the predetermined criteria include roles conditioned upon customer service representative availability, customer service representative workload, and customer service representative skills;

assigning, by the smart routing engine, the customer service representative to the incoming written communication;

transferring the written communication from the smart routing engine to the customer service representative;

transferring the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication to the customer service representative;

displaying the written communication to the customer service representative on a customer engagement ceenter desktop; and

displaying the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication to the customer service representative on the customer engagement center desktop.

2. The method of claim 1 , wherein the customer service representative assigned retrieves the written communication from a queue or queue group before reviewing the written communication on the customer engagement center desktop.

3. The method of claim 1 , wherein the smart routing engine passes the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication simultaneously with the written communication.

4. The method of claim 1 , wherein the customer engagement center desktop displays the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication before the customer engagement center desktop displays the written communication.

5. The method of claim 1 , wherein the smart routing engine passes the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication to a party other than the customer service representative assigned.

6. The method of claim 1 , further comprising the text analytics service unit passing a copy of the written communication to a text analytics service storage.

7. The method of claim 1 , further comprising the text analytics service unit passing a copy of the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication to a text analytics service storage.

8. The method of claim 1 , further comprising the smart routing engine passing a copy of the written communication to a smart routing engine storage.

9. The method of claim 1 , further comprising the smart routing engine passing a copy of the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication to a smart routing engine storage.

10. The method of claim 1 , further comprising the smart routing engine receiving an update to the predetermined criteria.

11. A system for text analysis for routing of written communications to a customer service agent, comprising:

a processor; and

a non-transitory computer readable medium programmed with computer readable code that upon execution by the processor causes the processor to:

receive a written communication from outside a customer engagement center system,

in a text analytics service software module on a text analytics service unit, generate a sentiment of the written communication, a tone of the written communication, a meaning of the written communication, an intent of the written communication, and a threat indication, wherein the threat indication is an indication of a presence of threats in the written communication, further wherein the intent of the written communication is a list of action points ordered by importance,

pass the written communication and the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication from the text analytics service unit to a smart routing engine,

analyze, by the smart routing engine, the generated sentiment, the generated tone, the generated meaning, the generated threat indication, and a set of predetermined criteria to assign a customer service representative to receive the incoming written communication, wherein the predetermined criteria include rules conditioned upon customer service representative availability, customer service representative workload, and customer service representative skills,

assign, by the smart routine' engine, the customer service representative to the incoming written communication,

transfer the written communication from the smart routing engine to the assigned customer service representative,

transfer the generated sentiment, the generated tone, the generated meaning, the generated intent and the generated threat indication to the customer service representative,

display the written communication to the customer service representative on a customer engagement center desktop; and

display the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication to the customer service representative on the customer engagement center desktop.

12. The system of claim 11 , wherein the text analytics service software module is programmed to evaluate at least one of a message content, existing attached metadata, header data, and attachments for the written communication.

13. The system of claim 11 , wherein the text analytics service software module generates communication metadata based on text analytics of a message content of the written communication, wherein the communication metadata is at least one of a word choice of a sender or a list of business entities referenced by the written communication.

14. The system of claim 13 , wherein the smart routing engine is programmed to evaluate the communication metadata based on the predetermined criteria in the smart routing engine.

15. The system of claim 14 , wherein the predetermined criteria are updateable.

16. The system of claim 11 , wherein the at least one of the customer service representative retrieves the written communication from a groups or queue groups before reviewing the written communication the customer engagement center desktop.

17. The system of claim 16 , wherein at least one of the groups or queue groups is created and updated dynamically.

18. A non-transitory computer readable medium programmed with computer readable code that upon execution by a processor causes the processor to:

receive a written communication from outside a customer engagement center system,

using a text analytics service software module on a text analytics service unit, generate a sentiment of the written communication, a tone of the written communication, a meaning of the written communication, an intent of the written communication, and a threat indication, wherein the threat indication is an indication of a presence of threats in the written communication, further wherein the intent of the written communication is a list of action points ordered by importance,

pass the written communication and the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication from the text analytics service unit to a smart routing engine,

analyzing, by the smart routing enoine, the generated sentiment, the generated tone, the generated meaning, the generated intent, the generated threat indication, and a set of predetermined criteria to assign a customer service representative to receive the incoming written communication, wherein the predetermined criteria include rules conditioned upon customer service representative availability, customer service representative workload, and customer service representative skills,

assign, by the smart routing engine, the customer service representative to the incoming written communication,

transfer the written communication from the smart routing engine to the customer service representative,

transfer the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication to the customer service representative,

display the written communication to the customer service representative on a customer engagement center desktop, and

display the generated sentiment, the generated tone, the generated meaning, the generated intent, and the generated threat indication to the customer service representative on the customer engagement center desktop.