US 12,131,125 B2
Automated outcome classification systems in contact interactions, and methods
Kyle J. Shoaf, Cottonwood Heights, UT (US)
Assigned to INCONTACT LTD., Sandy, UT (US)
Filed by INCONTACT INC., Sandy, UT (US)
Filed on Mar. 25, 2021, as Appl. No. 17/212,196.
Prior Publication US 2022/0309251 A1, Sep. 29, 2022
Int. Cl. G06F 40/35 (2020.01); G06F 40/205 (2020.01); G06F 40/295 (2020.01); G10L 17/00 (2013.01)
CPC G06F 40/35 (2020.01) [G06F 40/205 (2020.01); G06F 40/295 (2020.01); G10L 17/00 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A disposition analysis system comprising:
a processor and a computer readable medium operably coupled thereto, the computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, to perform operations which comprise:
receiving text of a connected contact interaction;
determining, by a natural language processor, a lexeme, a sentiment, entities, and key phrases from the text;
training a neural network to assign a contact disposition to the connected contact interaction by providing training data comprising transcripts classified as having a callback disposition, a do-not-call disposition, and a positive with payment amount to be paid by a customer disposition;
assigning, by the trained neural network, the contact disposition to the connected contact interaction based on the text, the lexeme, the sentiment, the entities, and the key phrases;
generating a disposition response to the connected contact interaction based on the assigned contact disposition, wherein:
the disposition response comprises scheduling a callback to the customer for a specific date and time, and
obtaining the specific date and time from the entities and the key phrases from the text of the connected contact interaction; and
presenting the generated disposition response to a user,
wherein the lexeme comprises a base or root of a word or series of words.