Embedded vector generation method, and same-name personnel classification method and device based on enterprise pairs

An enterprise and vector technology, applied in the field of computer-readable storage media and electronic equipment, in the field of embedded vector generation, can solve the problem of difficult to judge whether it is the same person, achieve reliable and accurate classification and judgment, and ensure comprehensiveness and accuracy. , the effect of simple operation

Pending Publication Date: 2022-08-05
河南天眼查科技有限公司
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Problems solved by technology

[0004] In view of this, the present invention proposes a method for generating embedding vectors, a method for classifying people with the same name based on business pairs, a device, a computer-readable storage medium, and electronic equipment, so as to solve the problem of two identical people appearing in two companies at the same time in the prior art. It is difficult to judge whether it is the same person when the name is used

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  • Embedded vector generation method, and same-name personnel classification method and device based on enterprise pairs
  • Embedded vector generation method, and same-name personnel classification method and device based on enterprise pairs
  • Embedded vector generation method, and same-name personnel classification method and device based on enterprise pairs

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[0037] Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for this thorough and complete disclosure invention, and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings are not intended to limit the invention. In the drawings, the same elements / elements are given the same reference numerals.

[0038] Unless otherwise defined, terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is to be understood that terms defined in commonly used dictionaries should be construed as having meanings consistent with the context in the related art, and should not be construed as idealized or overly formal meanings.

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Abstract

The invention discloses an embedded vector generation method and an enterprise pair-based homonymous personnel classification method and device.The method comprises the steps that each enterprise in an enterprise association relationship database and association keywords between the enterprises are used as nodes, and the relationship between the enterprises and the relationship between each enterprise and each association keyword are used as edges; generating an enterprise association relationship heterogeneous graph; sampling the enterprise incidence relation heterogeneous graph to obtain a sampling sequence of each enterprise; and training the sampling sequence of each enterprise by adopting a preset natural language processing model to obtain an embedded vector of each enterprise. According to the method and the device provided by the embodiment of the invention, the enterprise association relationship graph is constructed by adopting the heterogeneous graph, different weight edges do not need to be set in consideration of attribute types of the association relationship between the enterprises, the weight can be automatically learned according to the degree of the node in subsequent sampling, and newly increased enterprises and enterprise relationships can be directly realized by increasing the nodes.

Description

technical field [0001] The present invention relates to the technical field of image detection, and in particular, to a method for generating an embedded vector, a method for classifying persons with the same name based on enterprise pairs, an apparatus, a computer-readable storage medium, and an electronic device. Background technique [0002] Natural person name disambiguation is a difficult problem in enterprise information analysis. In the public information of industry and commerce, for the relevant personnel of the enterprise, the official disclosure only contains the name of the person, not the unique identification code of the person. Therefore, when two identical names appear in two companies at the same time, it is difficult to judge whether the two are the same person. . [0003] In the traditional method, the solution of name disambiguation generally relies on artificially setting strategies for relationship judgment, and the accuracy of judgment is limited by t...

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Application Information

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IPC IPC(8): G06F16/28G06F16/901G06K9/62
CPCG06F16/285G06F16/9024G06F18/22G06F18/243
Inventor 温嘉瑶
Owner 河南天眼查科技有限公司
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