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Stock market risk prediction platform and text excavation method thereof

A technology of text mining and risk prediction, applied in the fields of instrumentation, finance, data processing, etc., can solve the problems of neglecting research, forecasting results cannot reflect market dynamics, etc., and achieve the effect of reasonable design

Inactive Publication Date: 2016-09-21
UNIVERSITY OF CHINESE ACADEMY OF SCIENCES
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] First, the impact of investor sentiment and behavior on the stock market is ignored, and the forecast results cannot reflect the real market dynamics
[0007] Second, focus on the research of information such as stock market transactions, while ignoring the research on Internet news, forums and other data

Method used

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  • Stock market risk prediction platform and text excavation method thereof
  • Stock market risk prediction platform and text excavation method thereof
  • Stock market risk prediction platform and text excavation method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0027] A stock market risk prediction platform, such as figure 1 and figure 2 shown, including:

[0028] The data acquisition module, the built-in crawler program of the application platform automatically acquires the text data and stock market transaction data of the China Securities Regulatory Commission, the China Banking Regulatory Commission, the Central Bank, News Network, Hexun, Oriental Fortune, Sina Finance Forum, Netease Finance Forum, and Tencent Finance Forum.

[0029] The data preprocessing module performs denoising operations on the collected text data, including data cleaning, data integration, data transformation and data reduction, etc., to meet the needs of modeling.

[0030] The text mining module obtains the policy sentiment daily index, the financial sentiment daily index, the forum sentiment daily index and the comprehensive sentiment daily index according to the above text mining steps.

[0031] The stock market prediction module uses the comprehensiv...

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Abstract

The invention discloses a stock market risk prediction platform, comprising: a data collection module; a data preprocessing module; a text mining module; a stock market prediction module; a risk assessment module; and a result output module. The present invention also provides a text mining method for a stock market risk prediction platform, which is a method for converting unstructured text data into structured data to analyze the viewpoints, attitudes or sentiments contained in the documents. The invention has a reasonable design and converts unstructured text data into structured data to analyze the views, attitudes or emotions contained in the document, and evaluates the risk level of the stock market according to the results obtained by data analysis. The risk level of the stock market is not only It can serve investors' decision-making, and can also provide a basis for the government to formulate relevant policies and enterprises to implement corresponding strategies.

Description

technical field [0001] The invention belongs to the field of stock market prediction and risk identification, and in particular relates to a stock market risk prediction platform and a text mining method thereof. Background technique [0002] The stock market is a barometer of a country or region's economic and financial activities, and it is also an important means of corporate financing and investor asset allocation. The forecast research on the stock market can not only provide a basis for the government, enterprises and investors to make relevant decisions, but also avoid Financial risks, and promote the stable and healthy development of the stock market. [0003] The existing stock market prediction methods include securities investment analysis method, mathematical statistical model, nonlinear dynamics method, neural network, support vector machine, etc. These methods all assume that investors are rational and can conduct trading activities according to the principle o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q40/04
CPCG06Q10/0635G06Q40/04
Inventor 吴德胜
Owner UNIVERSITY OF CHINESE ACADEMY OF SCIENCES
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