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Public opinion data-based stock abnormal fluctuation analysis method

An analysis method and stock technology, applied in data processing applications, electronic digital data processing, special data processing applications, etc., can solve problems such as large human resources, influence of transaction analysis accuracy, low efficiency, etc., and achieve the effect of improving analysis efficiency

Inactive Publication Date: 2018-07-27
ZHEJIANG UNIV
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Problems solved by technology

However, due to the huge amount of stock-related texts and strong real-time performance, manual reading and analysis one by one needs to consume huge human resources, requiring financial analysts to read texts for a long time and at high frequency, which is not only inefficient, but also due to work status, individual emotions, etc. Human factors will affect the accuracy of transaction analysis

Method used

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  • Public opinion data-based stock abnormal fluctuation analysis method
  • Public opinion data-based stock abnormal fluctuation analysis method
  • Public opinion data-based stock abnormal fluctuation analysis method

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Embodiment Construction

[0029] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0030] This implementation method takes the extraction of features related to the transaction type of "securities whose decline deviates by 7%" from public opinion as an example, such as figure 1 As shown, the extraction process includes steps such as text collection and labeling, distributed representation of words and emotional feature extraction, posting volume statistics, and market change statistics. The specific implementation process is as follows:

[0031] (1) Collect the public opinion data, and classify the samples according to the types of stock changes, and divide the data set into training set, verification set and test set.

[0032] According to step (1), the public opinion, the type of transaction, and the date of occurrence of the transact...

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Abstract

The invention discloses a public opinion data-based stock abnormal fluctuation analysis method. A set of text sentiment analysis model is built; through a natural language processing technology, features of massive public opinion data are extracted; features of specific stock abnormal fluctuation types are mined; domain experts and data analysts are assisted to analyze stock quotations; investorsare assisted to obtain key information; investment strategies are improved; universal methods are given; the financial text data analysis efficiency is greatly improved; and the needs of the domain experts and the investors are met. In addition, the method is suitable for different stock abnormal fluctuation result types; the domain experts can be guided to extract sentiment features of public opinions; and the data and the information required for sentiment analysis are given, so that the domain experts can exert the advantages in a domain knowledge aspect to the greatest extent during stockabnormal fluctuation detection work and get effective information more comprehensively and accurately, and the investment strategies can be improved.

Description

technical field [0001] The invention belongs to the technical field of natural language processing and data mining, and in particular relates to a stock transaction analysis method based on public opinion data. Background technique [0002] With the rapid development of Internet technology and the deep integration of informatization and the financial industry, experts and authoritative organizations have published a large number of valuable comments on the Internet, reports of important financial events and company disclosures, etc. An important source of information on financial markets. However, the key information that is highly correlated with the stock market trend and investment is hidden in the huge text, which makes people dazzled and cannot obtain effective information in time. [0003] Behavioral economics shows that emotions can profoundly affect individual behavior and decision-making. Is this also applicable to the stock industry, that is, the emotional state o...

Claims

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Application Information

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IPC IPC(8): G06Q40/06G06F17/27
CPCG06Q40/06G06F40/247G06F40/284
Inventor 罗智凌靳婷李莹尹建伟邓水光吴朝晖
Owner ZHEJIANG UNIV
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