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:
Dec. 24, 2019

Filed:

Oct. 05, 2017
Applicants:

Accenture Global Solutions Limited, Dublin, IE;

Misram Llc, Holmdel, NJ (US);

Inventors:

Constantine T. Boyadjiev, Jersey City, NJ (US);

Rajarathnam Chandramouli, Holmdel, NJ (US);

Zongru Shao, Jersey City, NJ (US);

Koduvayur Subbalakshmi, Holmdel, NJ (US);

Assignees:

ACCENTURE GLOBAL SOLUTIONS LIMITED, Dublin, IE;

MISRAM LLC, Holmdel, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/04 (2006.01); H04L 29/06 (2006.01); H04L 12/58 (2006.01); G06F 17/27 (2006.01); G06F 21/50 (2013.01); G06N 5/02 (2006.01); G06N 7/00 (2006.01); G06F 17/28 (2006.01); G06F 21/60 (2013.01); G06N 3/04 (2006.01); G06N 20/00 (2019.01); G06F 7/02 (2006.01); G06N 5/04 (2006.01); G06Q 10/06 (2012.01);
U.S. Cl.
CPC ...
H04L 63/205 (2013.01); G06F 17/2785 (2013.01); G06F 17/28 (2013.01); G06F 21/50 (2013.01); G06F 21/604 (2013.01); G06N 5/022 (2013.01); G06N 7/005 (2013.01); H04L 51/12 (2013.01); H04L 63/102 (2013.01); G06F 7/023 (2013.01); G06N 3/0454 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/06398 (2013.01);
Abstract

According to an embodiment, a natural language processing artificial intelligence network and data security system determines an emotions model for one or more users from electronic natural language interactions of the users. The system includes a natural language processing decoder to determine textual features from the electronic natural language interactions that may be indicative of emotional states of the users. They system includes an emotions model encoder that generates an emotions model based on the emotional states of the users in the electronic natural language interactions retrieved from the data storage. The system also includes an artificial intelligence network and data security subsystem. The artificial intelligence network and data security subsystem may use the emotions model as a primitive for artificial intelligence based tasks including computer system security, network security, data security, proactive monitoring and preventive actions, that are moderated using the context provided by the emotional state of a user.


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