Document file complexity judgment method and platform

Abstract

The invention discloses a document file complexity judgment method and platform. The method comprises the following steps of: extracting file parameters from mass files; setting the difficulty level of each file; learning each file parameter of the mass files and the corresponding difficulty level to obtain a complexity detection model; and obtaining each file parameter of the to-be-detected file,and substituting the file parameters into the trained model to obtain a detection result. The platform comprises a parameter extraction part, a difficulty level division part, a model construction part, a file input part and a result output part, the parameter extraction part extracts file parameters of a file, the difficulty level division part sets a file difficulty level, the model construction part trains an evaluation model, the file input part receives a to-be-detected file, and a detection result is output through the result output part. According to the method, the file complexity canbe quickly, accurately and objectively evaluated. And therefore, timely and objective data support can be provided for the cost budget of file processing.

Description

technical field [0001] The invention relates to the field of file computers, in particular to a method and a platform for judging the complexity of document files. Background technique [0002] The complexity of a file is a description of the complexity of the information contained in the file, and the judgment of the complexity of the file is related to the estimated cost of related processing (such as typesetting, translation, transposition, etc.) of the file, which may directly determine Collection or Settlement of Fees. [0003] At present, the judgment of document complexity is all done manually. With the help of personal understanding and experience, empirical judgment is made through the obtained document parameters such as the amount of text and pictures. On the one hand, this method needs to consume a lot of manpower and time costs. On the other hand, it is too much affected by human subjective factors. Although there are corresponding complexity judgment criteria ...

AI Technical Summary

Problems solved by technology

On the one hand, this method requires a lot of manpower and time costs. On the other hand, it is too much affected by human subjective factors. Although there are corresponding complexity judgment criteria in the industry, the judgment results of people with different abilities The difference is still large, unable to be unified, and the objectivity is poor

In this way, it is impossible to form an executable standard for the management of business budgets and related practitioners

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