Government affair approval method, system and device based on machine learning and storage medium

Abstract

According to the government affair approval method and system based on machine learning, material elements of government affair materials and logic relations between the material elements are obtained; utilizing a machine learning algorithm to train the material elements of the government affair material and the logic relationship between the material elements to obtain a material element rule model; inputting government affair materials into the material element rule model, and outputting logical relationships among the material elements of the government affair materials and probabilities ofthe logical relationships; when the probability of the logic relationship corresponding to the material element is greater than a preset threshold, storing the logic relationship into a rule base ofa government affair approval system, manually auditing the rules, and reserving the logic rules meeting the requirements to form the rule base; and uploading the government affair application material, and performing intelligent approval on material elements of the government affair application material by utilizing the logic relationship stored in the rule base of the government affair approval system. Through the government affair approval rules based on machine learning training, user input items are reduced, and the approval speed of e-government affair application items is improved.

Description

technical field [0001] The invention belongs to the field of electronic government affairs, and in particular relates to a machine learning-based government affairs examination and approval method, system, device and storage medium. Background technique [0002] At present, the national government departments have launched their own government approval platforms one after another. Individuals and enterprises fill in the application forms online, requiring users to fill in relevant information step by step, resulting in long application periods and low efficiency. The prior art e-government management system and method (CN111325517A) provides an intelligent and efficient government management platform solution, which solves the problem of filling in a large number of forms when applicants submit application materials, and relies on the content input by applicant users Information is error-prone; and when the approver approves the application, it needs to check whether the inf...

AI Technical Summary

Problems solved by technology

[0002] At present, the national government departments have successively launched their own government approval platforms. Individuals and enterprises fill in the application forms online, requiring users to fill in relevant information step by step, resulting in long declaration time and low efficiency.

The prior art e-government management system and method (CN111325517A) provides an intelligent and efficient government management platform solution, which solves the problem of filling in a large number of forms when applicants submit application materials, and relies on the content input by applicant users Information is error-prone; and when approving an application, the approver needs to check item by item whether the information submitted by the applicant conforms to the policy basis of the government affairs, which is very time-consuming, laborious, and error-prone for the approver

Images