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:
Nov. 15, 2022

Filed:

Jul. 06, 2022
Applicant:

Sas Institute Inc., Cary, NC (US);

Inventors:

Teresa S. Jade, Cary, NC (US);

Xiao Li, Beijing, CN;

Chunqi Zuo, Beijing, CN;

Paul Jeffrey Kovach, Raleigh, NC (US);

Assignee:

SAS INSTITUTE INC:., Cary, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/335 (2019.01); G06V 30/19 (2022.01); G06F 40/10 (2020.01);
U.S. Cl.
CPC ...
G06V 30/19113 (2022.01); G06F 16/335 (2019.01); G06F 40/10 (2020.01); G06V 30/19093 (2022.01); G06V 30/19147 (2022.01);
Abstract

Text profiles can be leveraged to select and configure models according to some examples described herein. In one example, a system can analyze a reference textual dataset and a target textual dataset using text-mining techniques to generate a first text profile and a second text profile, respectively. The first text profile can contain first metrics characterizing the reference textual dataset and the second text profile can contain second metrics characterizing the target textual dataset. The system can determine a similarity value by comparing the first text profile to the second text profile. The system can also receive a user selection of a model that is to be applied to the target textual dataset. The system can then generate an insight relating to an anticipated accuracy of the model on the target textual dataset based on the similarity value. The system can output the insight to the user.


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