Demand document classification method and device based on machine learning

Abstract

The invention provides a demand document classification method and device based on machine learning, which can be applied to the technical field of finance. The demand documents are classified through the machine learning model, the problem that the demand documents need to be manually classified at present is solved, the requirements of architectlogists and developers are met, and the learning cost of flow chart construction by architects and developers is reduced. The requirements are concrete, the architecture can express the requirements more accurately, the development can understand the requirements more clearly, the effective coding time of developers is prolonged, and the classification accuracy is improved through continuous learning.

Description

technical field [0001] The invention relates to the technical field of Internet finance, in particular to a method and device for classifying demand documents based on machine learning. Background technique [0002] Requirements analysis is an essential link in software development. Requirements solutions are mainly used to clarify business scenarios, processes, and so on. The analysis and understanding of requirements documents is very important for developers. If the requirements are not clear, they will face the problem of code modification or even rewriting. As the complexity of business logic increases, the demand for graphical requirements document processes is also more urgent. [0003] However, the current classification of requirements documents is still in the stage of manual classification. Due to the large number of requirements documents in the software development process, the increase in complexity leads to a wide variety of types, which also involves semantic...

AI Technical Summary

Problems solved by technology

[0004] The current classification of requirement documents in the prior art is still in the stage of manual classification. Due to the large number of requirement documents in the software development process, the increase in complexity leads to a wide variety of types, which also involves semantic relations, etc. At present, there is no other substitute for manual classification. For the problem of the way of classification, the present invention provides a method and device for classifying requirements documents based on machine learning, which classifies the requirements documents through the machine learning model, solves the problem that the current requirements documents need to be manually classified, and satisfies the needs of architects and developers. requirements, reducing the learning cost for architects and developers to draw flowcharts

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