Christopher Henry Greer

US Patent:

20220189599, Jun 16, 2022

Filed:

Jul 8, 2021

Appl. No.:

17/370666

Inventors:

- St. Louis MO, US
Sai Pranay Malipatil - Hyderabad, IN
Morgan J. Finley - St Louis Park MN, US
Christopher J. Greer - Lake St. Louis MO, US
Billeigh Barackman - Troy IL, US
Ryann Ewing - Ruskin FL, US
Stephen J. Bergner - Chesterfield MO, US

International Classification:

G16H 20/10
G16H 15/00
G16H 40/20

Abstract:

A method includes receiving at least one data object and identifying, for a first aspect of the at least one data object, text strings of free form textual information having a first text string type. The method also includes generating updated free form textual information by removing the at least one text string having the first text string type. The method also includes generating one or more feature vectors based on the updated free form textual information using at least one of a unigram, a bigram, and a trigram. The method also includes using an artificial intelligence engine that uses at least one machine learning model configured to provide, using the one or more feature vectors, an output that includes at least one prediction indicating at least one resource domain and a weight value indicating a probability that the at least one resource domain corresponds to the free form textual information.