Automatic stock matching and classifying method and system based on news data

A news data, automatic matching technology, applied in the field of matching and classification of stock information, can solve the problems of limited personal energy and experience, different, difficult stock market observation and analysis, etc. The effect of the investment basis

Inactive Publication Date: 2013-07-31
TIBET TONGXIN SECURITIES CO LTD
View PDF2 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the business of listed companies has been developing, and the main business direction will also change. In addition, stocks in different sectors do not respond to the same news event in the same way. Therefore, static stock classification methods sometimes cannot reflect stock performance well. properties of
Traditional stock selection is usually

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automatic stock matching and classifying method and system based on news data
  • Automatic stock matching and classifying method and system based on news data
  • Automatic stock matching and classifying method and system based on news data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention will now be further described in conjunction with the accompanying drawings and embodiments.

[0024] As an embodiment of the present invention, see figure 1 , its stock automatic matching classification method based on news data includes the following steps:

[0025] (A) Create a local database.

[0026] (B) Capture historical news data of at least one relevant stock from the outside world and store it in a local database. Sources of historical news data include mainstream news portals, announcements from relevant national departments, exchange transaction data, social networks, etc.; and then establish Corresponding stock serial number, and perform word segmentation and screening for each piece of historical news data, remove function words and some uninformative word segmentation, and extract keyword sequences related to individual stocks; assuming individual stock serial numbers are stock A, stock B, ... , stock N; the keyword sequence is key...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a matching and classifying method and system for stock information, in particular to an automatic stock matching and classifying method and system based on news data. The automatic matching and classifying method is characterized by comprising the following steps: establishing a local data base; performing word segmentation and screening on historical news data, extracting key word sequences, constructing sequence models for individual share key word sequence correlation, calculating the correlation between the individual shares, and classifying stocks by combining a cluster analysis algorithm; and performing word segmentation and screening on real-time news data, extracting a real-time key word sequence, calculating sequences for real-time key word sequence correlation, and performing automatic matching with the sequence models for individual share key word sequence correlation. The automatic stock matching and classifying method and system adopt the stock key word sequence excavation technology based on the news data to achieve automatic classification of the stocks; the method is comprehensive, accurate, simple, convenient and feasible, and provides better investment reference for investors; and stocks with higher matching degree are given automatically aiming at breaking news events.

Description

technical field [0001] The invention relates to a method and system for matching and classifying stock information, in particular to a method and system for automatically matching and classifying stocks based on news data. Background technique [0002] Traditional Internet search engine technology uses specific keywords to mark website pages, and provides search results by matching user search keywords with webpage keywords. With the development of Web technology, a large number of pictures, blogs, and videos are published on the Internet every day. The extreme explosion of information makes it difficult to help people find the information they need through simple keywords. The emergence of recommendation engines has transformed the way users obtain information from simple keyword searches to more advanced and richer information discovery that is more in line with people's usage habits. By mining the correlation between web pages and user data, constructing keyword sequence...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/30G06F17/27
Inventor 何波蒋永磊丁志敏
Owner TIBET TONGXIN SECURITIES CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap