Text classification via term mapping and machine-learning classification model

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 ad...

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Bibliographic Details
Main Authors Honermann, Jennifer, Barnes, Catherine, Akers, Peter Todd
Format Patent
LanguageEnglish
Published 03.06.2025
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary: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.
Bibliography:Application Number: US202217864872