Patents by Inventor Hyuna Pyo

Hyuna Pyo has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method and system for automatically classifying data expressed by a plurality of factors with values of text word and symbol sequence by using deep learning
    Patent number: 10643109
    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.
    Type: Grant
    Filed: April 2, 2018
    Date of Patent: May 5, 2020
    Assignee: NAVER Corporation
    Inventors: Jung Woo Ha, Hyuna Pyo, Jeong Hee Kim
  • METHOD AND SYSTEM FOR AUTOMATICALLY CLASSIFYING DATA EXPRESSED BY A PLURALITY OF FACTORS WITH VALUES OF TEXT WORD AND SYMBOL SEQUENCE BY USING DEEP LEARNING
    Publication number: 20180225553
    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.
    Type: Application
    Filed: April 2, 2018
    Publication date: August 9, 2018
    Inventors: Jung Woo Ha, Hyuna Pyo, Jeong Hee Kim