Multi-model fusion training method and device and text classification method and device

A training method and text classification technology, which is applied in computing models, neural learning methods, biological neural network models, etc., can solve the problems of poor text classification effect and accuracy rate, and improve generalization ability, training efficiency and recognition accuracy rate, the effect of enhancing the effect

Inactive Publication Date: 2021-02-05
北京中科智加科技有限公司
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Problems solved by technology

[0004] To this end, the embodiment of the present invention provides a multi-model fusion training method and device to solve the problem that the high-performance neural network model in th...

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  • Multi-model fusion training method and device and text classification method and device
  • Multi-model fusion training method and device and text classification method and device
  • Multi-model fusion training method and device and text classification method and device

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Embodiment Construction

[0054]In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0055]Based on the multi-model fusion training method of the present invention, its embodiments are described in detail below. Such asfigure 1 As shown, it is a flowchart of a multi-model fusion training method provided by an embodiment of the present invention. The specific implementation process includes the following steps:

[0056]Step S101...

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Abstract

The embodiment of the invention provides a multi-model fusion training method and a text classification method and device. The multi-model fusion training method comprises the steps: performing targetcontent extraction and classification on text data, and constructing a target data set; performing fusion processing on a preset single classification network model, and constructing a multi-model fusion network structure; and training the multi-model fusion network structure based on the target data set to obtain a fusion classification network model. According to the multi-model fusion trainingmethod disclosed by the embodiment of the invention, the single classification network model can be fused with the learning ability of other models, and the generalization ability of the single classification network model is improved, so that the training efficiency and the recognition accuracy of the model are effectively improved.

Description

Technical field[0001]The invention relates to the technical field of big data processing, in particular to a multi-model fusion training method and device, and a text classification method and device. In addition, it also relates to an electronic device and a non-transitory computer-readable storage medium.Background technique[0002]In recent years, with the rapid development of information technology and the Internet, a large amount of electronic text data has been produced, making the research of text mining technology more and more important. How to extract valuable information from these vast text data and automatically retrieve, classify and summarize it is an important goal of text mining. Text Classification (Text Classification), or automatic text classification, refers to the process by which a computer maps a piece of text with information to a predetermined category or several categories of topics. As an efficient information retrieval and mining technology, it plays an im...

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Application Information

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IPC IPC(8): G06K9/62G06F40/30G06N3/04G06N3/08G06N20/00
CPCG06F40/30G06N3/049G06N3/08G06N20/00G06N3/045G06F18/2415
Inventor 张乐乐冯少辉李鹏
Owner 北京中科智加科技有限公司
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