Invention Grant
- Patent Title: Text categorization using natural language processing
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Application No.: US16019021Application Date: 2018-06-26
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Publication No.: US10599769B2Publication Date: 2020-03-24
- Inventor: Jon Austin Osbourne , Aaron Raymer , Megan Yetman , Venkat Yashwanth Gunapati
- Applicant: Capital One Services, LLC
- Applicant Address: US VA McLean
- Assignee: Capital One Services, LLC
- Current Assignee: Capital One Services, LLC
- Current Assignee Address: US VA McLean
- Agency: Harrity & Harrity, LLP
- Main IPC: G06F17/27
- IPC: G06F17/27 ; G06N5/04 ; G10L19/083 ; G06K9/62 ; G06F16/35

Abstract:
A method performed by a device may include identifying a plurality of samples of textual content; performing tokenization of the plurality of samples to generate a respective plurality of tokenized samples; performing embedding of the plurality of tokenized samples to generate a sample matrix; determining groupings of attributes of the sample matrix using a convolutional neural network; determining context relationships between the groupings of attributes using a bidirectional long short term memory (LSTM) technique; selecting predicted labels for the plurality of samples using a model, wherein the model selects, for a particular sample of the plurality of samples, a predicted label of the predicted labels from a plurality of labels based on respective scores of the particular sample with regard to the plurality of labels and based on a nonparametric paired comparison of the respective scores; and providing information identifying the predicted labels.
Public/Granted literature
- US20190340235A1 TEXT CATEGORIZATION USING NATURAL LANGUAGE PROCESSING Public/Granted day:2019-11-07
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