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Text classification method and device and alarm situation analysis system

A text classification and text technology, applied in text database clustering/classification, neural learning methods, unstructured text data retrieval, etc., can solve problems such as low efficiency of text classification, achieve good practical application value, improve classification effect, Taking into account the effect of classification performance

Pending Publication Date: 2020-12-01
迪爱斯信息技术股份有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a text classification method and device, and a police situation analysis system, which can effectively solve the technical problem of low text classification efficiency in the prior art

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  • Text classification method and device and alarm situation analysis system
  • Text classification method and device and alarm situation analysis system
  • Text classification method and device and alarm situation analysis system

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no. 1 example

[0045] The first embodiment of the present invention, such as figure 1 As shown, the text classification method includes: S10 obtains the text to be classified; S20 performs word segmentation on the text to be classified, and performs high-dimensional mapping on the text after word segmentation to obtain a word vector; S30 uses a pre-trained convolutional neural network to extract a part of the word vector features to obtain local feature vectors; S40 uses a cyclic neural network with an attention mechanism to extract features from local feature vectors to obtain global-based semantic feature vectors; S50 uses a multi-layer neural network to classify semantic feature vectors to complete the text to be classified Classification.

[0046] Text classification is a basic problem of natural language processing (NLP), such as spam detection, news filtering, etc. can be regarded as typical applications of automatic text classification. Its general definition is: the technology of au...

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Abstract

The invention provides a text classification method and device and an alarm situation analysis system, and the method comprises the steps of obtaining a to-be-classified text; carrying out word segmentation on the to-be-classified text, and carrying out high-dimensional mapping on the text after word segmentation to obtain a word vector; extracting local features of the word vectors by using a pre-trained convolutional neural network to obtain local feature vectors; performing feature extraction on the local feature vector by using a recurrent neural network with an attention mechanism to obtain a global-based semantic feature vector; and classifying the semantic feature vectors by using a multi-layer neural network to finish classification of the to-be-classified texts. According to the invention, the text classification model is obtained by combining multiple single models, so that the classification performance is considered while text categories are distinguished more accurately.

Description

technical field [0001] The invention relates to the technical field of computers and networks, in particular to a text classification method and device, and a police situation analysis system. Background technique [0002] With the continuous deepening of my country's Internet technology and the continuous development of the big data industry, the acquisition and storage of text, audio and video data information has become more and more convenient, and it has completely entered the "big data era". In recent years, all walks of life have begun to use big data technology to improve industry service levels. The statistical advantages brought by the amount of data have gradually emerged in many business scenarios. It can provide enterprises with application demonstrations such as analyzing data and accurately predicting trends, and has been well received by the industry. . In this context, the public security department has also actively used big data technology to build a corr...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F40/289G06N3/04G06N3/08
CPCG06F16/35G06F40/289G06N3/08G06N3/045
Inventor 杜渂邱祥平雷霆王聚全彭明喜陈健索涛刘冉东杨博戴贞清姜宁孙骞王宇文
Owner 迪爱斯信息技术股份有限公司
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