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A text classification method and apparatus

A text classification and text technology, applied in the field of text classification methods and devices, can solve problems such as the bottleneck of text classification accuracy, and achieve the effect of improving accuracy and integrity

Inactive Publication Date: 2019-02-19
BEIJING RONGLIAN YITONG INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The technology of text classification through CNN or RNN is very mature, and the accuracy of text classification has reached the bottleneck

Method used

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  • A text classification method and apparatus
  • A text classification method and apparatus
  • A text classification method and apparatus

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Embodiment Construction

[0042] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without...

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Abstract

Embodiments of the present application provide a text classification method and apparatus, wherein the method includes: determining a text vector of a target text; extracting contextual features of the text vector to obtain contextual feature vectors; extracting local features of the text vector, obtaining a local feature vector, downsampling the local feature vector, and obtaining a downsampled local feature vector; splicing the context feature vector and the down-sampled local feature vector to obtain a target feature vector; mapping the target feature vector into a one-dimensional vector, wherein dimensions of the one-dimensional vector correspond to preset categories one by one; a text category of the target text is determined based on a dimension of a maximum value in the one-dimensional vector. Embodiments of the present application improve the integrity of extracted features and further improve the accuracy of text classification.

Description

technical field [0001] The present application relates to the technical field of text classification, and in particular, to a text classification method and device. Background technique [0002] Text classification is widely used in real life. It can be used to identify whether emails received by mailboxes are spam, identify the emotional tendency of texts, obtain investment intelligence and many other problems. With the rapid growth of text data volume, traditional text classification methods have been unable to meet the demand. Deep learning algorithms emerged as the times require, and have achieved good results in dealing with large-scale text classification problems. [0003] In the prior art, CNN (Convolutional Neural Network, Convolutional Neural Network) and RNN (Recurrent Neural Network, Recurrent Neural Network) are commonly used deep learning networks. The technology of text classification through CNN or RNN is very mature, and the accuracy of text classification...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06K9/62
CPCG06F18/2413
Inventor 王栋曾国卿许志强孙昌勋
Owner BEIJING RONGLIAN YITONG INFORMATION TECH CO LTD