Cloud edge collaborative document classification system and method based on deep reinforcement learning

Abstract

The invention discloses a cloud edge collaborative document classification system and method based on deep reinforcement learning. The method comprises that a document keyword analysis module and a document abstract analysis module which obtain a document keyword and a document abstract according to a to-be-classified document; a machine document content classification module obtains a first classification tag according to the document abstract, the document keyword and the to-be-classified document; document classification personnel selects a document classification tag according to the document abstract, the document keyword and the first classification tag in a manual classification module to obtain a second classification tag; and a document classification efficiency evaluation modulecalculates a classification efficiency value according to statistical efficiency parameters, directly stores a classification result if the classification efficiency value is lower than a set threshold, and otherwise, takes an expert classification result as a final result. According to the method, the accuracy of text classification can be improved by combining manual classification and expert classification, the professional ability requirement of professional document classification on classification personnel is reduced, and the working efficiency of the classification personnel is improved.

Description

technical field [0001] The present invention relates to the field of text classification, in particular to a cloud-edge collaborative document classification system and method based on deep reinforcement learning. Background technique [0002] With the comprehensive application of Internet technology in new information, new energy, new materials and other fields, the professional documents of relevant enterprises and institutions have exploded. As production operation and maintenance data, such professional documents are of great significance for summarizing production experience and researching industry development. Professional document classification is based on business understanding, organizes and processes professional document data within the unit in an orderly manner, solves the problem of disorderly and complicated documents, and facilitates later review, query and management. Therefore, it is of great significance for enterprises and institutions to realize comple...

AI Technical Summary

Problems solved by technology

[0004] The Chinese Patent Publication No. is CN 106096063 A. This invention provides a parallel semi-defined classification method and system for big data, which solves the problem of non-existence of labels in the classification label library to a certain extent through machine learning. , but there is still the problem of insufficient accuracy when the prior information is less, and the classification result rating cannot be provided; the Chinese patent publication number is CN 107329999 A patent, which provides a document classification method and device, through the processing of sample documents. To a certain extent, it is possible to classify documents without establishing a data model, but due to the limitation of the number of sample documents, there is still a problem of insufficient accuracy

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