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Patent Searching and Data


Title:
METHOD FOR EXTRACTING MAIN FEATURE FROM VOICE OF CUSTOMER DATA AND METHOD FOR CLASSIFYING DATA TYPE BY USING SAME
Document Type and Number:
WIPO Patent Application WO/2019/189951
Kind Code:
A1
Abstract:
The present invention relates to a method for processing voice of customer (hereinafter, referred to as "VOC") data and, more specifically, to a method for extracting a main feature from VOC data on the basis of a lexico semantic pattern (hereinafter, referred to as "LSP") and classifying the type of newly inputted VOC data by using the extracted main feature. To this end, the present invention provides a method for classifying a VOC data type, the method allowing a word embedding performance result and previously constructed LSP information to be used on the basis of a semantic feature pattern so as to extend a semantic feature such that the quality of syntax analysis is improved, and enabling a syntax structure and semantic analysis and a type classification, which have not been conventionally performed, so as to help in decision making by allowing VOC data to be easily understood.

Inventors:
KIM MOON JONG (KR)
PARK TAE SOO (KR)
MOON YOUNG JU (KR)
LEE CHAN HYEONG (KR)
JANG JUNG HOON (KR)
Application Number:
PCT/KR2018/003611
Publication Date:
October 03, 2019
Filing Date:
March 27, 2018
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Assignee:
WISENUT INC (KR)
International Classes:
G06Q30/02; G06F40/00; G10L15/08
Foreign References:
KR20170088095A2017-08-01
KR101339103B12013-12-09
KR20130022075A2013-03-06
JP2003162524A2003-06-06
Other References:
KIM MOONJONG, ET AL.: "VOC Summarization and Classification based on Sentence Understanding", THE KOREAN INSTITUTE OF INFORMATION SCIENTISTS AND ENGINEERS, KIISE TRANSACTIONS ON COMPUTING PRACTICES, vol. 22, no. 1, January 2016 (2016-01-01), pages 50 - 55
Attorney, Agent or Firm:
NURY PATENT LAW FIRM (KR)
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