Enterprise industry classification method and device

Abstract

The embodiment of the invention provides an enterprise industry classification method and device, and the method comprises the steps: obtaining multiple basic data of an enterprise, and selecting data from the basic data to establish a data model corresponding to the selected data; obtaining industry prediction classification of the enterprise according to the data model; carrying out comprehensive analysis on the industry prediction classifications of the plurality of enterprises to obtain the industry final classification of the enterprises; and automatically classifying the enterprise industry, thus the workload of manual industry labeling is greatly reduced, and the accuracy of industry classification is improved through an intelligent classification method.

Description

technical field [0001] The present application relates to the field of Internet technologies, and in particular to a method and device for classifying enterprise industries. Background technique [0002] In recent years, with the prosperity of my country's market economy, enterprise credit investigation, as an important part of the social credit system, plays an important role in improving the market system, maintaining market order, and promoting the development of the market economy. Based on the needs of the credit investigation business, we need to accurately classify the industry of the enterprise. [0003] The industry classification of the enterprise in the tax registration information is set by the company at the beginning of the tax registration. The human error is relatively large, and there is a big difference with the real industry classification of the enterprise. Therefore, it is necessary to accurately classify the industry of the enterprise. In addition, a v...

AI Technical Summary

Problems solved by technology

[0004] In the prior art, when classifying the industry of the enterprise based on various basic data of the enterprise, such as the business operation of the enterprise and tax big data, the traditional method is still mainly used, and the industry of the enterprise is classified by manual statistical analysis. , it needs to consume a lot of manpower and material resources, the workload is heavy, and the work efficiency is low; in addition, when classifying the industry of the enterprise in the prior art, basically only one kind of data is unilaterally referred to, for example, the industry of the enterprise is classified according to the enterprise name data , making the classification results less accurate and less reliable

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