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Enterprise attribute data prediction method and device, electronic equipment and storage medium

A technology of attribute data and prediction method, applied in the field of data processing, can solve problems such as poor model application effect, information loss, unfavorable agile development model, etc., and achieve the effect of improving integrity

Pending Publication Date: 2022-04-08
BEIJING JINTI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] One is that the modeling process is complex, requiring multiple departments to work together from expert knowledge to computer models, which is not conducive to agile development models
[0006] The second is that the application effect of the model is poor, and there is information loss in the process of expert summary and escaping rules

Method used

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  • Enterprise attribute data prediction method and device, electronic equipment and storage medium
  • Enterprise attribute data prediction method and device, electronic equipment and storage medium
  • Enterprise attribute data prediction method and device, electronic equipment and storage medium

Examples

Experimental program
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no. 1 example

[0027] figure 1 A schematic flowchart of a method for predicting enterprise attribute data according to the first embodiment of the present application is shown. As shown in the figure, this embodiment mainly includes the following steps:

[0028] Step S102, obtaining a given attribute of an enterprise object.

[0029] Optionally, relevant attribute data of enterprise objects can be collected from one or more open source databases, including but not limited to enterprise annual report information, enterprise shareholders and capital contribution information, enterprise involvement information (such as the relevant cause of action of the enterprise as the defendant, the amount involved, etc. Information), enterprise credit information (such as whether the enterprise is listed as a dishonest person subject to enforcement), enterprise property information (such as whether the enterprise has property disposal), etc.

[0030] Optionally, the given attribute of the enterprise obje...

no. 2 example

[0038] figure 2 A schematic flowchart of a method for predicting enterprise attribute data according to the second embodiment of the present application is shown. This embodiment mainly shows an exemplary training scheme of an attribute data prediction model. As shown in the figure, this embodiment mainly includes the following steps:

[0039] Step S202, perform feature extraction on each structured attribute data and each unstructured attribute data of the sample enterprise, and obtain a feature vector set including each structured feature vector and each unstructured feature vector.

[0040] In this embodiment, relevant attribute data of enterprise objects can be collected from one or more open source databases, including but not limited to enterprise annual report information, enterprise shareholders and capital contribution information, enterprise involvement information (such as the relevant cause of action of the enterprise as the defendant, the case involved Amount a...

no. 3 example

[0053] image 3 A schematic flowchart of a method for predicting enterprise attribute data according to the third embodiment of the present application is shown. This embodiment mainly shows the specific implementation of the above step S202. As shown in the figure, this embodiment mainly includes the following steps:

[0054] Step S302, based on preset structured feature extraction rules, perform feature extraction for each structured attribute data, and obtain each structured feature vector.

[0055] Optionally, according to each candidate binning code corresponding to the structured attribute data, perform binning processing on the structured attribute data, determine the real binning code of the structured attribute data from each candidate binning code, and then according to the preset Feature mapping rules that map ground-truth binning encodings to structured feature vectors.

[0056] In this embodiment, the binning processing method adopted may include but not limite...

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Abstract

Embodiments of the invention provide an enterprise attribute data prediction method and apparatus, an electronic device and a computer storage medium. The method mainly comprises the steps of obtaining a given attribute of an enterprise object; and according to the given attribute, the missing attribute of the enterprise object is predicted by using the attribute data prediction model, an association relationship exists between the given attribute and the missing attribute, and the attribute data prediction model is pre-trained based on the unshielded attribute and the shielded attribute of the sample enterprise. Therefore, the integrity of the data portrait of the enterprise object can be improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of data processing, and in particular to a method, device, electronic device, and computer storage medium for predicting enterprise attribute data. Background technique [0002] Data such as business information, intellectual property rights, and judicial documents are the digital projections of enterprises, and industry experts can predict the capabilities and risks of enterprises from these data. However, in practical applications, there is often a problem that some attribute information of the enterprise is missing, which makes it impossible to objectively and comprehensively evaluate the capabilities and risks of the enterprise. [0003] If the knowledge experience and judgment logic of industry experts can be constructed into a computer model, the efficiency of enterprise data mining can be improved and the opacity of cooperation between enterprises can be reduced. [0004] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06F16/33G06F16/35G06K9/62G06N3/04G06N3/08
Inventor 刘天宇
Owner BEIJING JINTI TECH CO LTD