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Intelligent enterprise scoring method based on big data

A big data, enterprise technology, applied in network data retrieval, data processing applications, network data indexing, etc., can solve problems such as lack of suitable enterprises, talents, ineffective results, and inability to fully understand enterprise information.

Pending Publication Date: 2022-04-12
政和科技股份有限公司
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AI Technical Summary

Problems solved by technology

[0002] In the era of different levels of regional economic development and different regional economic characteristics, the state and functional departments at all levels actively introduce funds, projects, technologies, outstanding talents, advanced development concepts and management methods from different regions to promote regional economic development. Advantageous resources, but due to the large scale of the enterprise and the intricate relationship between enterprises, functional departments at all levels cannot fully understand enterprise information, and cannot recruit suitable enterprises, talents and other resources
[0003] In order to promote regional economic development, a large number of personnel are sent to conduct enterprise and regional research, which consumes a lot of material, manpower, and financial resources, but the results are not obvious

Method used

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  • Intelligent enterprise scoring method based on big data
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Embodiment 1

[0043] A method for scoring enterprise intelligence based on big data, comprising the following steps:

[0044] (1) Collect enterprise dimension information through the crawler collection program to form an initial enterprise database;

[0045] In step (1), the enterprise dimension information includes industrial and commercial, equity, financing, foreign investment, qualification honor interest, recruitment, intellectual property rights, administrative punishment, judicial risk, credit risk, and financial (listed company) dimension information.

[0046] The crawler collection program is developed in python language, using the existing distributed crawler framework scrapy.

[0047] The advantages of Scrapy are:

[0048] 1) It can provide crawling progress monitoring / climbing result viewing / crawler project management and other functions;

[0049]2) Support a variety of back-end databases, such as: MySQL / MongoDB / Redis, etc.;

[0050] 3) Support multiple message queues, such a...

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Abstract

The invention relates to an enterprise intelligent scoring method based on big data, and belongs to the field of enterprise information analysis, and the method comprises the steps: collecting enterprise dimension information through a crawler collection program, and forming an enterprise initial library; establishing an index dictionary database; cleaning enterprise initial library data based on the index dictionary library to form an enterprise standard library; constructing an enterprise scoring model based on the index dictionary library and the enterprise standard library; the corresponding index score of the enterprise is calculated through analysis of an existing calculation engine; according to the weight value, carrying out weight addition and reduction calculation, finally forming index scores corresponding to each dimension of the enterprise, and summarizing to form a comprehensive evaluation score of the enterprise; and summarizing the comprehensive evaluation scores of the enterprises to form an enterprise score library. According to the method, information is acquired through big data, data is cleaned, a scoring model is constructed, the scoring model is analyzed through SPARK, corresponding dimension scores of enterprises are calculated, and quantitative analysis is performed on each dimension of enterprise information, so that functional departments can accurately and directionally investigate and introduce resources such as enterprise technologies, talents and funds.

Description

technical field [0001] The invention relates to an enterprise intelligent scoring method based on big data, belonging to the technical field of enterprise information analysis. Background technique [0002] In the era of different levels of regional economic development and different regional economic characteristics, the state and functional departments at all levels actively introduce funds, projects, technologies, outstanding talents, advanced development concepts and management methods from different regions to promote regional economic development. Advantageous resources, but due to the large scale of enterprises and the intricate relationship between enterprises, functional departments at all levels cannot fully understand enterprise information, and cannot recruit suitable enterprises, talents and other resources. [0003] In order to promote regional economic development, a large number of personnel are sent to conduct enterprise and regional research, which consumes...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06F16/951G06F16/215
Inventor 李士钦张庆文朱涛赵西法
Owner 政和科技股份有限公司
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