US 12,271,446 B1
Using machine learning and free text data to detect and report events associated with use of software applications
John Walsh, New Rochelle, NY (US); and William Morse, Brooklyn, NY (US)
Assigned to CLICK THERAPEUTICS, INC., New York, NY (US)
Filed by Click Therapeutics, Inc., New York, NY (US)
Filed on Aug. 15, 2024, as Appl. No. 18/806,230.
Int. Cl. G06F 18/24 (2023.01); G06F 16/242 (2019.01); G06F 18/2415 (2023.01); G06N 3/047 (2023.01); G06N 3/0475 (2023.01); G06N 20/00 (2019.01)
CPC G06F 18/24 (2023.01) [G06N 3/047 (2023.01); G06N 3/0475 (2023.01); G06N 20/00 (2019.01); G06F 16/243 (2019.01); G06F 18/2415 (2023.01)] 30 Claims
OG exemplary drawing
 
19. A system for events associated with use of applications, comprising:
one or more processors coupled with memory, the one or more processors configured to:
identify free text associated with an application to be evaluated for at least one of a plurality of events associated with a use of the application;
apply the free text to a machine learning (ML) architecture, the ML architecture trained using a plurality of sample texts indicative of at least one of the plurality of events associated with the use of the application;
determine based on applying the free text to the ML architecture, a value indicating a likelihood of occurrence of an event associated with the use of the application;
provide to a generative ML model, a model input based on the free text and the value, to obtain data for an electronic document characterizing the event associated with the use of the application; and
execute an action using the data for the electronic document.