Public security case and oral supply text naming and extracting method and device based on CRF algorithm

Abstract

The invention relates to the technical field of natural language processing and concretely discloses a public security case and oral supply text naming and extracting method and device based on a CRFalgorithm. The method comprises the steps of obtaining data information of a public security case text and a case oral supply, correspondingly integrating the case text and the case oral supply to form text data, and storing the text data in a data table for marking; performing entity word labeling on the text data formed by correspondingly integrating the case text and the case oral supply; carrying out part-of-speech tagging and extracting features according to tagging to establish a basic feature template; inputting the basic feature template, the public security case text and the corpus ofthe case oral supply into a CRF algorithm model for training to obtain a name extraction model; establishing an information data table of urban street conditions in a public security monitoring range; recognizing the newly-added case text and the oral supply information through the naming extraction model and correspondingly mapped to the information data table of the urban street condition for information extraction so that office efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of natural language processing, and specifically discloses a method and a device for extracting names of public security cases and confession texts based on a CRF algorithm. Background technique [0002] With the rapid development of natural language processing technology, this technology has been widely used in search engines and other related industries, and the public security agencies have accumulated a large amount of case text data information in the long-term informatization process, and the public security departments need to invest more and more Manpower is used to analyze and classify case texts and confession texts. [0003] At present, since many cases and confessions are described and recorded by different police officers, there are subjective differences in the terminology, and there is no standard description terminology. In order to accurately access the relevant information, the public secur...

AI Technical Summary

Problems solved by technology

[0003] At present, since many cases and confessions are described and recorded by different police officers, there are subjective differences in the terms used, and there is no standard description terminology. In order to accurately access the relevant information, the public security officers need to spend more time and effort. In the review process, the work pressure and labor cost of the public security personnel are greatly increased, and the office efficiency is greatly reduced; and when the public security personnel need to extract some case information, they need to obtain it by consulting the case and browsing the full text of the case, which is not intuitive. Understand the important information of the case, resulting in the inefficiency of the public security personnel in analyzing the case

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