Resumes & CV records
Resumes
Qa & Support Manager At Lingotek
Location:
Provo, Utah Area
Industry:
Computer Software
Matthew J Valley, 40792 W 450 N, Highland, UT 84003
Matthew Valley Phones & Addresses
792 W 450 N, American Fork, UT 84003
Provo, UT
Littleton, CO
8621 Gold Peak Pl UNIT C, Littleton, CO 80130
Social networks
Matthew J Valley
Linkedin
Industries
Computer Software
Mentions for Matthew J Valley
Publications & IP owners
Us Patents
Systems And Methods For Predictive Analysis Reporting
US Patent:
2020002, Jan 23, 2020
Filed:
Jul 12, 2019
Appl. No.:
16/510644
Inventors:
- Salt Lake City UT, US
Robert D. Bailey - Saratoga Springs UT, US
Matthew Valley - American Fork UT, US
Stewart A. Sintay - Lehi UT, US
Stephen W. Shillingford - Salt Lake City UT, US
Wacey T. Richards - Midway UT, US
Damon A. Darais - Pleasant Grove UT, US
Michael E. Kiemel - Lehi UT, US
Samuel Z. Shillingford - Salt Lake City UT, US
Robert D. Bailey - Saratoga Springs UT, US
Matthew Valley - American Fork UT, US
Stewart A. Sintay - Lehi UT, US
Stephen W. Shillingford - Salt Lake City UT, US
Wacey T. Richards - Midway UT, US
Damon A. Darais - Pleasant Grove UT, US
Michael E. Kiemel - Lehi UT, US
Samuel Z. Shillingford - Salt Lake City UT, US
International Classification:
G06K 9/00
G06F 17/27
G06K 9/62
G06N 20/00
G06F 17/27
G06K 9/62
G06N 20/00
Abstract:
Systems and methods may utilize a predictive analysis model to analyze a contract or other document. A system may parse a document and/or a repository of information associated with the document. The system may identify one or more terms in the document and corresponding terms in the repository. The system may determine a difference parameter between a first term extracted from the document and a second term extracted from the repository. The system may determine whether the difference between the first term and the second term, represented by the difference parameter, is likely to be acceptable to the user using a predictive analysis model. The system may report a validation parameter indicating a level of acceptability associated with the difference. User feedback on the accuracy of the predictive analysis model is used to train, modify, and improve the predictive analysis model.
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