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Policy text relationship mining and expressing method based on interactive graph structure

An expression method and graph structure technology, applied in the fields of natural language processing technology and knowledge graph

Pending Publication Date: 2021-07-02
苏州城方信息技术有限公司
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  • Claims
  • Application Information

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Problems solved by technology

This hidden correlation between policies cannot be learned by reading and understanding

Method used

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  • Policy text relationship mining and expressing method based on interactive graph structure
  • Policy text relationship mining and expressing method based on interactive graph structure

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Embodiment Construction

[0026] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0027] Natural Language Processing (Natural Language Processing, NLP) is a technology that enables computers to understand human language, and word segmentation technology is a basic task of NLP. NLP algorithms usually use words as the basic unit to perform semantic analysis on deep grammar. When building an NLP model, it is generally necessary for the modeler to have a certain amount of linguistic knowledge in order to extract appropriate features. The excellent generalization ability of deep learning can unsupervisedly extract features based on data, and learn context information features from training data, thereby providing high-quality training data and reducing ling...

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Abstract

The invention relates to a policy text relationship mining and expressing method based on an interactive graph structure, which adopts a natural language processing and deep learning method to carry out word segmentation and subject word extraction on policy text data, and draws correlation among policies based on a knowledge graph display mode; according to the policy text relation mining and expressing method based on the interactive graph structure, the potential correlation of the policy text data is analyzed, and the internal relation of the policy text data is shown.

Description

technical field [0001] The invention belongs to the field of natural language processing technology and knowledge graphs, and specifically relates to a deep learning-based policy topic word mining and topic word association method for mining and expressing policy text relationships based on an interactive graph structure. Background technique [0002] At present, governments at all levels and departments have formulated many policies, and there may be internal correlations among these policy texts, such as: a series of policies promulgated by government departments at different levels for a specific event and a specific policy object , there may be a strong correlation between this series of policies. This hidden correlation between policies cannot be read and understood. Therefore, it is necessary to use an interactive expression based on policy text relationship mining to reveal the internal relationship of policy texts. [0003] In order to extract key information in po...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/338G06F16/36G06F16/951
CPCG06F16/334G06F16/338G06F16/367G06F16/951
Inventor 张磊郭丽陶虹
Owner 苏州城方信息技术有限公司