Intelligent auxiliary case handling method based on deep learning

Abstract

The invention provides an intelligent auxiliary case handling method based on deep learning, which realizes intelligent auxiliary case handling through deep learning, a natural language processing technology and a big data technology, and comprises the following steps: 1, extracting key contents of a record text; 2, recombining the key content of the record text; 3, automatically filling the caseinformation; and 4, constructing a case knowledge graph. According to the method provided by the invention, the text content and the key content of the record information can be identified in batches,the related information data are extracted, the automatic form filling and knowledge graph construction of the case information are completed, the workload of manually extracting the information is greatly reduced, the accuracy and the efficiency are greatly improved, and the case analysis is assisted.

Description

technical field [0001] The invention relates to the technical field of intelligent management of public security case handling, in particular to an intelligent auxiliary case handling method based on deep learning. Background technique [0002] When handling a case, it is necessary to register the case information and enter the case information into the case system. In the case system, there are at least dozens of required items for adding a new case, and these contents basically need to be obtained from the case transcript information. At present, the registration of case information is mainly carried out manually, and the manual reads the transcript information and extracts key information, such as people, time, location, and other elements. This method of relying on manual identification and manual entry has the obvious problems of consuming a lot of manpower, low processing efficiency, irregular information entry, and error-prone. [0003] At present, as the investigati...

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Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies of the prior art, to provide a method for automatically filling in case information and constructing a case knowledge graph by using artificial intelligence technology to identify and extract the content of transcript materials, and to solve the problem of low efficiency of currently relying on manual registration of case information , non-standard, error-prone problems

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