Risk rule classification method and device based on NLP high-precision analysis label

A risk and rule technology, applied in the field of data classification processing, can solve the problem of inability to efficiently obtain the classification results of judicial risk rules

Pending Publication Date: 2021-08-27
BEIJING DINGTAI ZHIYUAN TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a method and device for classifying risk rules based on NLP high-precision parsing tags, so as to at least solve the classification of judicial risk rules in the prior art, and only classify jud

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  • Risk rule classification method and device based on NLP high-precision analysis label
  • Risk rule classification method and device based on NLP high-precision analysis label

Examples

Experimental program
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Embodiment 1

[0024] figure 1 It is a flow chart of a risk rule classification method based on an NLP high-precision parsing tag according to an embodiment of the present invention. figure 1 As shown, the method includes the following steps:

[0025] Step S102, obtain the risk scene information.

[0026] Optionally, the risk scenario information includes: risk scenario data, risk rules.

[0027] Specifically, the embodiment of the present invention is to classify the risk rule according to the NLP parsing algorithm, and the classification results are displayed and labeled. The information of the risk scene is first required, and since the data foundation of NLP is the original data information, that is, the embodiment of the present invention. The scene information of the risk is located, where the scene information includes risk scenarios, risk rules, can also include risk parameters, risk aging, risk status, etc., resulting in the risk scene information to local or remote through data acquis...

Embodiment 2

[0042] figure 2 It is a structural block diagram of a risk rule classification device based on an NLP high-precision parsing tag according to an embodiment of the present invention, such as figure 2 As shown, the apparatus includes:

[0043] Get module 20 for acquiring risk scene information.

[0044] Optionally, the risk scenario information includes: risk scenario data, risk rules.

[0045] Specifically, the embodiment of the present invention is to classify the risk rule according to the NLP parsing algorithm, and the classification results are displayed and labeled. The information of the risk scene is first required, and since the data foundation of NLP is the original data information, that is, the embodiment of the present invention. The scene information of the risk is located, where the scene information includes risk scenarios, risk rules, can also include risk parameters, risk aging, risk status, etc., resulting in the risk scene information to local or remote through ...

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Abstract

The invention discloses a risk rule classification method and device based on NLP high-precision analysis labels. The method comprises the following steps: acquiring risk scene information; generating a label analysis rule according to the risk scene information; classifying the risk data through the label analysis rule to obtain a classification result; and outputting the classification result. The technical problem that the judicial risk rule classification result cannot be further accurately and efficiently obtained according to the scene information of the statement because the judicial risk rule classification is operated only according to the label rule of the split text in the judicial risk rule classification in the prior art is solved.

Description

Technical field [0001] The present invention relates to the field of data classification processing, and in particular, there is a risk rule classification method and apparatus based on NLP high-precision parsing tag. Background technique [0002] With the continuous development of intelligence, people in today's society use intelligent methods to increase learning, work, quality and efficiency, through intelligent means, can bring different technical effects of traditional treatment methods. [0003] At present, during the course of judicial risk rules classification based on natural language processing, the judicial data that needs to be entered in advance is usually classified by the judicial data that needs to be entered, and data is analyzed according to the obtained data, but the traditional The judicial risk rules are intended to operate the judicial risk rule classification based on the label rules of the split text, which cannot obtain the scope of the judicial risk rule...

Claims

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Application Information

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IPC IPC(8): G06F40/30G06F16/35
CPCG06F16/35G06F40/30
Inventor 高强
Owner BEIJING DINGTAI ZHIYUAN TECH CO LTD
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