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:
Feb. 01, 2022

Filed:

Aug. 02, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Jeff Powell, Marietta, GA (US);

Aaron K. Baughman, Silver Spring, MD (US);

John J. Kent, North Attleboro, MA (US);

John C. Newell, Austin, TX (US);

David Provan, Cobb, GA (US);

Noah Syken, New Rochelle, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06N 20/00 (2019.01); G06F 16/20 (2019.01); G06F 16/30 (2019.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 16/20 (2019.01); G06F 16/30 (2019.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06N 3/0454 (2013.01); G06N 3/082 (2013.01);
Abstract

A set of vectors may be obtained. The vectors may be multi-dimensional vectors that are associated with and describe tokens from a first set of tokens from a corpus of sources. The description may be based in part on the relationship of the token to at least a portion of the remainder of the corpus. A set of sentiment scores may be obtained. The sentiment scores in the set of sentiment scores may describe a sentiment associated with a corresponding token that is described by a vector from the set of vectors. The set of vectors and the set of sentiment scores may be input into a pattern-recognizer pathway in a first neural network. A probability value of a potential future event may then be generated by the first neural network. The probability value may be based on the set of vectors and the set of sentiment scores.


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