Capital One Services, LLC

Peter Todd Akers

Jennifer Honermann

A method, apparatus, and computer-readable medium are described that identify subject matter of text using identified groups and a machine-learning model. Using the combination of the identified subject matter and the machine-learning model, classifications may be adjusted over time. Based on the adjusted classifications, the machine-learning model may be retrained to better classify previously unclassified text. One or more benefits may include better summarization of text documents and/or better training of machine-learning models that are then used to assist in the summarization of the text documents. The resulting classifications may be used to improve resource allocations for future tasks.

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North Potomac, MD, United States of America

Peter Todd Akers