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Text classification method and apparatus, computer device, and storage medium

A text classification and text technology, applied in the computer field, can solve the problem of low classification accuracy and achieve the effect of improving accuracy and accurate classification prediction

Pending Publication Date: 2019-03-29
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] Based on this, it is necessary to address the above technical problems and provide a text classification method, device, computer equipment and storage medium that can solve the problem of low classification accuracy when news text is pushed

Method used

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  • Text classification method and apparatus, computer device, and storage medium
  • Text classification method and apparatus, computer device, and storage medium
  • Text classification method and apparatus, computer device, and storage medium

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Embodiment Construction

[0046] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0047] The text classification method provided by this application can be applied to such as figure 1shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. Wherein, the terminal 102 can be, but not limited to, various personal computers and notebook computers, and the server 104 can be realized by an independent server or a server cluster composed of multiple servers.

[0048] Wherein, the terminal 102 may obtain the text to be classified from the server 104 through an HTTP request. The texts to be classifie...

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Abstract

The present application relates to a text classification method and apparatus based on a classification model, a computer device anda storage medium. The method comprises: selecting a text feature combination from a preset text feature library, extracting a corresponding fusion feature from the text to be classified from the text feature combination; according to text feature combination, selecting a plurality of pre-trained classifiers from a preset classifier library; According to the classifier, the fusion classifier is obtained, the fusion feature is input to the fusion classifier, and the probability of a plurality of preset labels output by the fusion classifier is obtained. The preset labels correspond to a text type, and the text type of the text to be classified is determined according to the preset labels with the greatest probability. The method can improve the accuracy of text classification.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a text classification method, device, computer equipment and storage medium. Background technique [0002] Text classification refers to the technology of classifying natural sentences into a specified category, which is widely used in the field of Internet technology. When news is pushed, news texts can be screened by text classification technology. Specifically, when pushing news texts to a designated platform, it is necessary to obtain news texts from various news sources, and then publish the news texts on the designated platform so that platform visitors read. In order to ensure the quality of the news texts published on the platform, it is necessary to review the news texts. Taking the government financial platform as an example, what needs to be published is financial news. After obtaining the news text from various news sources, the content of the news text ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F17/27
CPCG06F40/284
Inventor 徐冰汪伟肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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