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Method and system for tracking issues about each stock item based on big data

机译:基于大数据的每个股票项目跟踪问题的方法和系统

摘要

Disclosed is a big data-based issue tracking method and system for each stock item for tracking company-related issues reported on a network based on big data and generating stock price fluctuation prediction information using this. The issue tracking method according to the present invention includes the steps of determining stock items to be tracked using a company dictionary stored in a database and setting one or more keywords for each stock item; Crawling information on the Internet with the set keywords and calculating an online index indicating how much each stock item is reported; Tracking a change in a score for an online index of each stock item; Tracking a change in stock price of each stock item; Comparing a change in score and a change in stock price of each stock, analyzing a correlation between the two, and analyzing a change pattern; And generating a tracking result including stock price fluctuation prediction information and issue information for a specific stock item for which the user requests issue tracking by referring to the analyzed change pattern.
机译:公开了一种基于基于数据的基于基于数据的问题跟踪方法和系统,用于跟踪基于大数据的网络上报告的公司相关问题,并使用此操作库存价格波动预测信息。根据本发明的问题跟踪方法包括使用存储在数据库中存储的公司字典来跟踪要跟踪的库存项目的步骤,并为每个股票项目设置一个或多个关键字;使用集合关键字爬上Internet上的信息,并计算在线索引,指示每个股票项目的报告方式;跟踪每个股票项目的在线索引的分数的变化;跟踪每个股票项目的股票价格变化;比较成绩的变化和每股股票价格的变化,分析两者之间的相关性,分析改变模式;并生成跟踪结果,包括股票价格波动预测信息,并对用户请求通过参考分析的更改模式来处理跟踪的特定库存项目的信息。

著录项

  • 公开/公告号KR20210036734A

    专利类型

  • 公开/公告日2021-04-05

    原文格式PDF

  • 申请/专利权人 캐치온마인드 주식회사;

    申请/专利号KR1020190119134

  • 发明设计人 전춘익;

    申请日2019-09-26

  • 分类号G06Q40/04;G06F16/951;G06K9/20;

  • 国家 KR

  • 入库时间 2022-08-24 18:07:13

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