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US Patent 11227121 Utilizing machine learning models to identify insights in a document

Patent 11227121 was granted and assigned to Capital One on January, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Capital One
Capital One
Current Assignee
Capital One
Capital One
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11227121
Date of Patent
January 18, 2022
Patent Application Number
16693650
Date Filed
November 25, 2019
Patent Citations Received
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US Patent 12086172 Determining named entities associated with aspect terms extracted from documents having unstructured text data
0
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US Patent 11861477 Utilizing machine learning models to identify insights in a document
0
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US Patent 11481580 Accessible machine learning
Patent Primary Examiner
‌
Olujimi A Adesanya
Patent abstract

A device receives document information associated with a document, and receives a request to identify insights in the document information. The device performs, based on the request, natural language processing on the document information to identify words, phrases, and sentences in the document information, and utilizes a first machine learning model with the words, the phrases, and the sentences to identify information indicating abstract insights, concrete insights, and non-insights in the document. The device utilizes a second machine learning model to match the abstract insights with particular concrete insights that are different than the concrete insights, and utilizes a third machine learning model to determine particular insights based on the non-insights. The device generates an insight document that includes the concrete insights, the abstract insights matched with the particular concrete insights, and the particular insights determined based on the non-insights.

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