Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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

A technology of document classification and reinforcement learning, which is applied in neural learning methods, text database clustering/classification, unstructured text data retrieval, etc. It can solve the problems of inability to provide ratings of classification results, lack of prior information, and insufficient accuracy and other issues to achieve the effect of improving self-learning ability, improving accuracy and improving work efficiency

Active Publication Date: 2021-03-30
JIANGXI NORMAL UNIV
View PDF7 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Cloud edge collaborative document classification system and method based on deep reinforcement learning
  • Cloud edge collaborative document classification system and method based on deep reinforcement learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0040] see figure 1 , the embodiment of the present invention includes:

[0041] A cloud-edge collaborative document classification system based on deep reinforcement learning, including: machine document keyword analysis module, machine document summary analysis module, machine document content classification module, manual classification module, document classification efficiency evaluation module, expert document classification module, Result storage module and machine online learning module;

[0042] The machine document keyword analysis module is used to obtain the document keyword of the document to be classified by using the trained keywo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06K9/62G06N3/04G06N3/08
CPCG06F16/35G06N3/08G06N3/045G06F18/214G06F18/24G06F18/2415G06F16/355G06F16/3344G06F40/20G06N20/10G06N5/01G06N3/044
Inventor 马勇邵诗韵李辉戴梦轩徐凡钱辉赵从俊
Owner JIANGXI NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products