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. 20, 2022

Filed:

Nov. 28, 2017
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Kourosh Modarresi, Santa Clara, CA (US);

Abdurrahman Ibn Munir, South Deerfield, MA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06N 20/00 (2019.01); G06F 16/242 (2019.01); G06F 16/28 (2019.01); G06F 16/35 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/243 (2019.01); G06F 16/285 (2019.01); G06F 16/355 (2019.01);
Abstract

Categorical data transformation and clustering techniques and systems are described for machine learning using natural language processing. These techniques and systems are configured to improve operation of a computing device to support efficient and accurate use of categorical data, which is not possible using conventional techniques. In an example, categorical data is received by a computing device that includes a categorical variable having a non-numerical data type for a number of classes. The categorical data is then converted into numerical data using natural language processing. Data is then generated by the computing device that includes a plurality of latent classes. This is performed by clustering the numerical data into a number of clusters that is smaller than the number of classes in the categorical data.


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