Method for automatically correlating financial news to stocks

A technology of automatic correlation and news, applied in the field of stocks, can solve problems such as incompleteness and high error rate, and achieve high-accuracy results

Inactive Publication Date: 2018-07-17
SHENZHEN FUTU NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The present invention provides a method for automatically associating financial news with stocks, which is used to solve the technical problem that keywords in the prior art rely on manual maintenance and are often incomplete because they are only mechanically matched and have a high error rate.

Method used

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  • Method for automatically correlating financial news to stocks

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Embodiment Construction

[0043] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. In particular, the following examples are only used to illustrate the present invention, but not to limit the scope of the present invention. Likewise, the following embodiments are only some but not all embodiments of the present invention, and all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0044] The invention provides a method for automatically associating financial news with stocks.

[0045] See figure 1 , figure 1 It is a schematic flow diagram of the method for automatically associating financial news with stocks in the present invention, and the method for realizing the method for automatically associating financial news with stocks in the present invention includes:

[0046] S101: Processing original financial news information...

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Abstract

The invention discloses a method for automatically correlating financial news to stocks. The method comprises the steps that annotation data and to-be-processed data are adopted to process original financial news information; the original financial news information is preprocessed, wherein original financial news information data is converted to be in a data form, including a multidimensional vector form, etc., facilitating subsequent deep learning; a multi-tag classification model is adopted to perform deep learning on the preprocessed financial news information; and a trained model is used to process new financial news information, and the financial news information is automatically correlated to stocks. In this way, a word segmentation mode and a deep learning mode can be combined, theoriginal financial news information is automatically correlated to the stocks needing correlation with high accuracy, and it is convenient for a user to acquire comprehensive information of the concerned stocks.

Description

technical field [0001] The invention relates to the technical field of stocks, in particular to a method for automatically associating financial news with stocks. Background technique [0002] Stock news refers to financial news related to specific stocks. [0003] Automatic association refers to the fact that the original news obtained from the data provider is not associated with the stock or is not sufficiently associated with all the stocks that should be associated or is associated with the wrong stock. The process of automatically adding / correcting this association with the program strategy is called Automatic association. [0004] Existing schemes for automatically linking financial news to stocks include: [0005] Option 1, manual association: [0006] The disadvantage of adding / modifying articles and stock associations through manual judgment is that the human cost is huge. [0007] Option 2, based on keyword association: [0008] Each stock presets several fix...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06F17/30G06K9/62
CPCG06F16/9535G06F40/289G06F40/30G06F18/214
Inventor 侯红君陈文涛
Owner SHENZHEN FUTU NETWORK TECH CO LTD
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