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Trend prediction model training method and device

A trend prediction and training method technology, applied in the computer field, can solve the problems of inability to predict trends, low efficiency of news data analysis, and non-prospective analysis results

Pending Publication Date: 2020-06-02
深圳市华海同创科技有限公司
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  • Application Information

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Problems solved by technology

[0003] The embodiment of the present application provides a trend prediction model training method and device, which can solve the problem that the existing analysis methods for news data can only obtain the trend corresponding to the news data that has occurred, and cannot predict the trend. The results are not forward-looking, and the analysis efficiency of news data is low

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  • Trend prediction model training method and device
  • Trend prediction model training method and device
  • Trend prediction model training method and device

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Embodiment Construction

[0080] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0081] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude one or more other Presence or addition of features, wholes, steps, operations, elements, components and / or collections thereof.

[0082] It should...

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Abstract

The invention is suitable for the technical field of computers, and provides a trend prediction model training method. The method comprises the steps: obtaining word vector information and influence feature information corresponding to news keywords in a preset time period, and obtaining a trend label corresponding to the preset time period; acquiring news feature information, wherein the news feature information is generated based on the word vector information and the influence feature information; training a deep neural network based on the news feature information and the trend label corresponding to the news feature information to obtain a trend prediction model for outputting trend information, wherein in the training process, the input of the trend prediction model is the news feature information, and the output of the trend prediction model is trend information corresponding to the news feature information. According to the method, the news text is converted into word vector information; the news feature information is generated based on the word vector information and the influence feature information, the news feature information and the trend label corresponding to the news feature information are used as training samples, and the trend prediction model for outputting the trend information is obtained through training, so the trend of the news data can be predicted,and the analysis efficiency of the news data is improved.

Description

technical field [0001] The present application belongs to the field of computer technology, and in particular relates to a training method and device for a trend prediction model. Background technique [0002] With the development of the Internet industry, in addition to obtaining news through traditional media, users can also obtain news through many new forms of media, such as news clients, web pages, Weibo, and so on. Because the amount of news data obtained by users is too large, it is necessary to analyze news data and predict trends. However, the existing analysis methods for news data can only obtain the trend corresponding to the news data that has occurred, and cannot predict the trend, the analysis results obtained are not forward-looking, and the analysis efficiency of the news data is low. SUMMARY OF THE INVENTION [0003] The embodiment of the present application provides a training method and device for a trend prediction model, which can solve the problem t...

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Application Information

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IPC IPC(8): G06F16/9535G06N3/04G06N3/08
CPCG06F16/9535G06N3/08G06N3/045
Inventor 林伟翔
Owner 深圳市华海同创科技有限公司