The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 30, 2024

Filed:

Sep. 21, 2021
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

Moncef El Ouriaghli, Charlotte, NC (US);

Nishitha Kakani, Mint Hill, NC (US);

Sriram Mohanraj, Charlotte, NC (US);

Yanghong Shao, Charlotte, NC (US);

Timothy L Atwell, Huntersville, NC (US);

Assignee:

Bank of America Corporation, Charlotte, NC (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/18 (2020.01); G06F 18/21 (2023.01); G06F 21/62 (2013.01); G06F 40/20 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 40/18 (2020.01); G06F 18/2185 (2023.01); G06F 21/6245 (2013.01); G06F 40/20 (2020.01); G06N 20/00 (2019.01);
Abstract

Artificial-intelligence computer-implemented processes and machines predict whether personal data may be present in structured software based on metadata field(s) contained therein. Natural language processing preprocesses input strings corresponding to the metadata field(s) into normalized input sequence(s). Individual characters in the sequence(s) are embedded into fixed-dimension vectors of real numbers. Bidirectional LSTM(s) or other machine-learning algorithm(s) are utilized to generate forward and backward contextualization(s). Neural network output(s) are provided based on element-wise averaging or feed forwarding based on the contextualization(s) in order to predict whether one or more value fields corresponding to the metadata field(s) may contain personal data.


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