Data processing method, equipment and computer readable storage medium

Abstract

The embodiment of the invention discloses a data processing method, equipment and a computer readable storage medium, and the method comprises the steps: obtaining a first user attribute sample text,and obtaining a standard user attribute entity word for representing the first user attribute sample text; obtaining a standard result entity word used for representing a service analysis result, taking the standard user attribute entity word and the standard result entity word as network nodes, and constructing an initial analysis graph network according to the network nodes; obtaining a second user attribute sample text and a service analysis result label corresponding to the second user attribute sample text; and determining a directed conditional probability between network nodes in the initial analysis graph network according to an association relationship between the second user attribute sample text and the service analysis result label to obtain a standard analysis graph network containing the directed conditional probability. The standard analysis graph network is used for predicting a service analysis reference result for the user attribute text. By adopting the method, equipment and storage medium, the accuracy of a service analysis result can be ensured in service data analysis.

Description

technical field [0001] The present application relates to the technical field of the Internet, and in particular to a data processing method, device, and computer-readable storage medium. Background technique [0002] With the rapid development of artificial intelligence, intelligent data analysis has gradually replaced traditional manual data analysis. Business companies such as loan companies, securities companies, and insurance companies have begun to use artificial intelligence to achieve automated data analysis. [0003] Existing automated data analysis methods generally require business personnel to pre-set the business analysis indicators corresponding to each business analysis result, and then obtain the mapping relationship between the analysis results and the analysis indicators, and configure the mapping relationship in the business analysis device. When the service analysis result of a user needs to be queried, relevant indicators of the user can be input into th...

AI Technical Summary

Problems solved by technology

[0004] It can be seen that the current automated data analysis method is very dependent on the mapping relationship created by business personnel, so if the business personnel have insufficient business experience, it is likely that the created mapping relationship will not be accurate enough, which will cause the business analysis output by the business analysis equipment to be inaccurate. The results are not accurate enough. It can also be seen that excessively relying on the business experience of business personnel makes it difficult to guarantee the accuracy of the business analysis results output by automation

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