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:
Apr. 27, 2021

Filed:

May. 09, 2019
Applicant:

Oracle International Corporation, Redwood City, CA (US);

Inventors:

Daniel Peterson, Broomfield, CO (US);

Jean-Baptiste Frederic George Tristan, Burlington, MA (US);

Robert James Oberbreckling, Broomfield, CO (US);

Assignee:

Oracle International Corporation, Redwood City, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06F 16/35 (2019.01); G06N 5/04 (2006.01); G06F 40/253 (2020.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/35 (2019.01); G06F 40/253 (2020.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01);
Abstract

Systems and methods are disclosed to improve a topic modeling system that tunes a topic model for a set of topics from a corpus of documents, by allowing users to pre-inform the tuning process with bias parameters for desired associations in the topic model. In embodiments, the topic model may be a Latent Dirichlet Allocation (LDA) model. In embodiments, the bias parameter may indicate a fixed association where a particular word in a particular document is associated with a particular topic. In embodiments, the bias parameter may specify a weight value that biases the inference process with regard to a particular association. Advantageously, the disclosed features allow users to specify a small number of parameters to steer the tuning process towards a set of desired topics. As a result, the topic model may be generated more quickly and with more useful topics.


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