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Text classification method and device, storage medium and computer equipment

A text classification and text technology, which is applied in the field of text processing, can solve the problems of low text classification accuracy, the inability of the network model to automatically extract text features, and the inability to maximize the use of text by manually setting text features, so as to achieve the goal of improving accuracy Effect

Inactive Publication Date: 2019-11-22
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0004] In view of this, the present application provides a text classification method and device, a storage medium, and a computer device, the main purpose of which is to solve the problem of artificially setting text features in the existing knowledge engineering-based text classification methods, and causing problems in extracting text features by network models. Certain limitations, and when encountering a new corpus environment, the network model cannot realize the automatic extraction of text features. In addition, manually setting text features cannot maximize the use of text, resulting in a technical problem of low text classification accuracy

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

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Embodiment Construction

[0021] Hereinafter, the present application will be described in detail with reference to the drawings and embodiments. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0022] In view of the existing method of text classification based on knowledge engineering, text features need to be manually set, which has certain limitations on the extraction of text features by the network model, and the labor cost is high. In addition, manually setting text features cannot maximize the use of text , resulting in a technical problem of low accuracy of text classification. This embodiment provides a text classification method, which can effectively avoid the existing technical problems of artificially setting text features, resulting in high labor costs, low update efficiency, and low accuracy of text classification, so as to flexibly deal with different While using the co...

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Abstract

The invention discloses a text classification method and device, a storage medium and computer equipment, relates to the technical field of text processing, and can improve the text classification accuracy. The method comprises the steps of encoding a to-be-processed text by utilizing a trained text classification network model to obtain sentence information of the to-be-processed text; encoding the sentence information by using a trained text classification network model to obtain text information of the to-be-processed text; and performing classification identification on the text information by utilizing a classifier of a trained text classification network model to obtain the category of the to-be-processed text. The application is suitable for automatically classifying articles according to themes.

Description

technical field [0001] The present application relates to the technical field of text processing, in particular to a text classification method and device, a storage medium and computer equipment. Background technique [0002] With the rapid development of deep learning and neural network technology, deep learning and neural network technology can be used for text classification. Currently, text classification has a wide range of application scenarios. For example, news websites contain a large number of report articles. Based on the content of the articles, these articles need to be Automatically classify according to the subject matter, and divide it into politics, economy, military, sports, entertainment, etc.; another example, e-mails frequently receive spam advertisement information, and text classification can identify and filter spam from a large number of e-mails, improving the efficiency of e-mail users. Efficiency etc. [0003] However, the shortcomings of the exi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F17/22
CPCG06F16/35G06F16/355
Inventor 王健宗赵峰
Owner PING AN TECH (SHENZHEN) CO LTD