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A vectorization-based enterprise relationship division method, server and client

A technology for relationship division and enterprise, applied in the fields of natural language processing and computer software, which can solve problems such as missing data, consuming large labor costs, and not being able to update the type of enterprise relationship, so as to achieve good experience and reduce impact

Active Publication Date: 2021-03-30
北京纳人网络科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, in many data processing applications, it is necessary to obtain the relationship between enterprises and enterprises. The acquisition of this relationship is usually manually edited, and the manual editing method requires a lot of labor costs.
In addition, some automated enterprise relationship mining programs are also aimed at structured texts. However, direct mining of enterprise relationships through structured texts may have missing data, and the relationship types of enterprises cannot be updated in time for enterprise transformation and development.

Method used

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  • A vectorization-based enterprise relationship division method, server and client
  • A vectorization-based enterprise relationship division method, server and client
  • A vectorization-based enterprise relationship division method, server and client

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Embodiment Construction

[0035] The principles of the disclosure will now be described with reference to some example embodiments. It can be understood that these embodiments are described only for the purpose of illustrating and helping those skilled in the art to understand and implement the present disclosure, rather than suggesting any limitation to the scope of the present disclosure. The disclosure described herein may be implemented in various ways other than those described below.

[0036] As used herein, the term "comprising" and its variations may be understood as open-ended terms meaning "including but not limited to". The term "based on" may be understood as "based at least in part on". The term "one embodiment" can be read as "at least one embodiment". The term "another embodiment" may be understood as "at least one other embodiment".

[0037] Please refer to figure 1 It is a schematic flow chart of a method in an embodiment of the present invention, and the method for dividing enterp...

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Abstract

The present invention relates to a method and device for dividing enterprise relationships based on vectorization, wherein the method includes: obtaining enterprise vectors through vectorization of enterprise description texts, calculating the similarity between enterprises according to the distance between the enterprise vectors, and The similarity between the enterprises is used to obtain the relationship types between the enterprises, and the relationship types between the enterprises are stored in the database to construct the enterprise relationship map. Using the method in the present invention, the similarity between enterprises can be divided, and the relationship types between enterprises can also be obtained, and the division process has the characteristics of easy generation and quantification of word vectors, and the characteristics of fast and efficient text statistical information . In addition, the method of the present invention has high value for the accuracy rate of enterprise retrieval and resume recommendation.

Description

technical field [0001] The invention relates to the fields of computer software and natural language processing, in particular to a method and device for dividing enterprise relationships based on vectorization. Background technique [0002] Data is a representation of facts, concepts, or instructions that can be processed by human or automated means. Data becomes information when it is interpreted and given meaning. Specifically, data processing is the collection, storage, retrieval, processing, transformation and transmission of data. [0003] At present, in many data processing applications, it is necessary to obtain the relationship between enterprises. The acquisition of this relationship is usually manually edited, and a large amount of labor costs are required to use the manual edit method. In addition, some automated enterprise relationship mining programs are also aimed at structured texts. However, direct mining of enterprise relationships through structured text...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06K9/62
CPCG06F16/35G06F18/22G06F18/2411
Inventor 姜海峰周玉刚
Owner 北京纳人网络科技有限公司
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