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:
May. 05, 2020

Filed:

Apr. 02, 2018
Applicant:

Naver Corporation, Seongnam-si, KR;

Inventors:

Jung Woo Ha, Seongnam-si, KR;

Hyuna Pyo, Seongnam-si, KR;

Jeong Hee Kim, Seongnam-si, KR;

Assignee:

NAVER Corporation, Seongnam-si, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06Q 30/02 (2012.01); G06F 16/35 (2019.01); G06Q 10/06 (2012.01); G06F 40/20 (2020.01); G06F 40/258 (2020.01); G06N 3/08 (2006.01); G06N 5/04 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6277 (2013.01); G06F 16/355 (2019.01); G06F 40/20 (2020.01); G06F 40/258 (2020.01); G06K 9/6269 (2013.01); G06K 9/6274 (2013.01); G06K 9/6276 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 5/046 (2013.01); G06Q 10/067 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0282 (2013.01);
Abstract

Disclosed are a method and a system for automatically classifying data expressed as a plurality of factors with values of a text word and a symbol sequence by using deep learning. The method comprises the steps of: inputting the data expressed by the plurality of factors so as to express a word vector including sequence information of the factors through sequence learning of words corresponding to the factors with respect to each factor constituting the data in a first model; inputting an output of the first model so as to calculate points of each category for classifying the categories of the data by using the word vector including the sequence information of the factor in a second model; and determining at least one category for the data by using the points of each category.


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