Patent ID: 11861477
Assignee: CAPITAL ONE SERVICES, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
training, by a device, a machine learning model by:
providing historical information to the machine learning model,
receiving, from the machine learning model, prediction information based on providing the historical information to the machine learning model, and
updating the machine learning model based on the prediction information;

utilizing, by the device, the trained machine learning model on a document to:
identify information indicating an abstract insight, a first concrete insight, and a non-insight in the document,
wherein the abstract insight is one or more of:
an insight that is not based on reality, a specific object, or an actual instance,
an insight that expresses a quality or characteristic apart from a specific object or an actual instance, or
a theoretical insight;

wherein the first concrete insight is one or more of:
an insight that is based on reality, a specific object, or an actual instance,
an insight pertaining to reality or an actual instance, or
an insight applied to an actual substance or thing, and

wherein the non-insight is one or more of:
an opinion,
a fact, or
a guess,

match the abstract insight with a second concrete insight that is different than the first concrete insight and the abstract insight, and
match the non-insight with a stored insight that is different from insights identified in the document;

generating, by the device, an insight document by combining the first concrete insight, the abstract insight, and the stored insight; and
providing, by the device and for display, the insight document.