Invention Grant
- Patent Title: Predictive neural network with sentiment data
-
Application No.: US15667287Application Date: 2017-08-02
-
Publication No.: US11238339B2Publication Date: 2022-02-01
- Inventor: Jeff Powell , Aaron K. Baughman , John J. Kent , John C. Newell , David Provan , Noah Syken
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Peter J. Edwards
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04 ; G06N20/00 ; G06F16/20 ; G06F16/30 ; G06F40/30

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.
Public/Granted literature
- US20190042933A1 PREDICTIVE NEURAL NETWORK WITH SENTIMENT DATA Public/Granted day:2019-02-07
Information query