System and method for natural language processing
A system and method are presented for the use of natural language processing to automate the disposition of completed interactions in an environment such as a contact center system. Communications may be inbound or outbound. A communication is received or placed by the contact center system and processed through the contact center system. After the interaction of the communication and the contact center is completed, data from the completed interaction may be processed through an automated customer interaction disposition system. Transcript data from the interaction may be processed through an NLP engine to generate data from the interaction. The data may then be automatically matched with a disposition/wrap-up code for the interaction.
1. A method for automating the disposition of interactions in a contact center system using natural language processing, wherein the system comprises a communication, an interactive voice response system, a recording module, an automated customer interaction disposition system, and a plurality of endpoints, the method comprising the steps of:
a. receiving the communication by the interactive voice response system;
b. recording, by the recording module, the interaction of the communication with the interactive voice response system;
c. routing the communication to a desired endpoint from the plurality of endpoints; and
d. after the interaction has ended, processing the communication, by the automated customer interaction disposition system, based on a defined communication flow from the interactive voice response system,
i. wherein the automated customer interaction disposition system further comprises at least: a natural language processing engine, a disposition engine, a transcription service, a sentiment engine, and one or more databases.
2. The method of claim 1 , wherein the communication comprises an inbound communication.
3. The method of claim 1 , wherein the communication comprises an outbound communication.
4. The method of claim 1 , wherein the communication comprises at least one of: a telephone call, an SMS, a social media posting, an email, a video communication, and an instant message.
5. The method of claim 1 , wherein the recording begins when the interaction has been received into the contact center system.
6. The method of claim 1 , wherein the desired endpoint comprises a human agent.
7. The method of claim 1 , wherein the desired endpoint comprises an automated agent system, wherein the automated agent system further comprises a virtual agent.
8. The method of claim 1 , wherein the one or more databases house disposition configurations and recording data.
9. The method of claim 1 , wherein the step of processing further comprises the steps of:
a. examining, by the disposition engine, the communication to determine if a disposition of the interaction may be automated, wherein if the disposition may be automated, continuing to the next step, otherwise, ending the process;
b. examining, by the disposition engine, the communication for voice, wherein if the communication is determined to comprise voice, transforming the communication into textual based information and updating recording data;
c. sending the communication to a natural language processing engine;
d. processing, by the natural language processing engine, the textual based information;
e. examining defined sentiments, by the sentiment engine, and attempting to matching the communication to a disposition; and
f. finalizing an attempted match using results from the sentiment engine and disposition configuration data.
10. The method of claim 9 , wherein the disposition engine uses disposition configuration data to examine the communication.
11. The method of claim 9 , wherein the transforming of step (b) is performed using a transcription service.
12. The method of claim 9 , wherein the determination of voice is performed by examination of file media types of the communication.
13. The method of claim 9 , wherein the processing of step (d) further comprises:
a. developing data about the interaction using disposition configuration data; and
b. updating the recording database.
14. The method of claim 13 , wherein the data comprises at least one of: meta data and attributes of the interaction.
15. The method of claim 9 , wherein the examining of step (e) uses one or more of: natural language processing data and artificial intelligence.
16. The method of claim 9 , wherein step (e) further comprises updating the one or more databases associated with recording data.