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Natural language processing method for early warning risk upgrading event

A natural language processing and event technology, applied in natural language data processing, data processing applications, electronic digital data processing, etc., to achieve the effect of preventing high-risk cases and resolving conflicts and disputes

Pending Publication Date: 2022-04-12
浙江嘉兴数字城市实验室有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the prior art, there is no method for analyzing disputes and civil cases by means of natural language processing to obtain the risk of an event being upgraded to a high-risk case

Method used

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  • Natural language processing method for early warning risk upgrading event

Examples

Experimental program
Comparison scheme
Effect test

Embodiment S1

[0034] This embodiment S1 specifically includes:

[0035] S101. Access to multi-channel data sources: In this embodiment, the access event information is obtained from sources such as the city's big data center, various operators, hotline data centers, and various basic management platforms;

[0036] S102. Clean the data according to a unified format, generate unified structured data, and write it into multiple databases.

[0037] The data resource database established in this embodiment, that is, the data warehouse, can access event data in various fields. Event data obtained by mediation centers, etc. The data resource library established in this embodiment is connected to event data in various fields, which can provide data basis and basis for subsequent classification and analysis.

[0038] This embodiment establishes an event analysis related model based on natural language processing. The event analysis related model in this embodiment includes: 1. Event classification...

Embodiment S2

[0039] Present embodiment S2 comprises:

[0040] S201. Classify events according to the event information, divide events into multiple categories through the event classification model, and set multiple subcategories under each category. In this embodiment, according to the combination of K-means algorithm and Bayesian network Classify events with a hybrid algorithm: use the K-means algorithm to train sample clustering, and use an improved Bayesian network to classify events according to the training results; this embodiment can dynamically configure the training results through automatic machine intervention or manual intervention;

[0041] S202. Send the classified results to the entity extraction model for entity extraction, and extract the text and category features that meet the comprehensive social governance. This embodiment meets the comprehensive social governance, that is, meets the provisions of the comprehensive social management governance;

[0042] S203. Carry ou...

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Abstract

The invention provides a natural language processing method for early warning a risk upgrading event, which comprises the following steps of: S1, establishing a data warehouse, and accessing a data source into the data warehouse; s2, on the basis of natural language processing, event information in a data source is extracted and processed through an event analysis related model; and S3, inputting a result value of the event analysis correlation model into an early warning analysis model, and carrying out risk upgrading event upgrading risk value analysis and early warning. Various elements in the event are scientifically and efficiently analyzed through a natural language processing technology, the risk analysis model is obtained by combining massive event data training, the risk of converting a certain event into a high-risk case can be accurately obtained, related workers can intervene in the event in advance according to the risk, contradictory disputes are resolved, and the risk analysis efficiency is improved. And the occurrence of high-risk cases is prevented.

Description

technical field [0001] The invention belongs to the technical field of early warning risk escalation events, and in particular relates to a natural language processing method for early warning risk escalation events. Background technique [0002] At present, with the development of society and economy, civil cases caused by family and marriage disputes, neighborhood disputes, economic compensation disputes, labor disputes, and life trivial disputes in daily work and life are becoming more and more frequent. If the correct guidance is not given, with the accumulation of contradictions, high-risk cases will often be triggered, which will bring huge losses to people's lives and property. In the past, there was no intelligent and efficient method to analyze the disputes and civil cases that have occurred, and to find out the risk of an event escalating into a high-risk case. [0003] Natural language processing integrates linguistics, computer science, and mathematics. It can p...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F40/205G06K9/62G06Q50/18
Inventor 宋超伟王雁飞
Owner 浙江嘉兴数字城市实验室有限公司
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