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Adding value to financial news by computer

机译:通过计算机为金融新闻增值

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Recent advances in software permit applications where computers can intelligently process text based on its content. Since so much financial information is available first (and sometimes only) in textual form, these developments have great significant for Wall Street. The authors describe a deployed application that enhances access to financial news stories by categorizing them (as corporate acquisitions, earning reports, etc.) on the basis of their content. They go on to describe other applications possible with more advanced forms of this technology, involving extraction of key facts from certain types of stories. These applications include summarization, creation of databases from news feeds, translation into other languages, and even program trading based on news. An application in this class is scheduled for deployment in 1991.
机译:软件的最新进展允许计算机可以根据其内容智能处理文本的应用程序。由于首先以文本形式(有时是唯一)可获得大量财务信息,因此这些发展对华尔街具有重要意义。作者介绍了一个已部署的应用程序,该应用程序通过根据内容对金融新闻故事进行分类(如公司收购,收益报告等)​​来增强对金融新闻故事的访问。他们继续描述了该技术的更高级形式可能的其他应用,其中涉及从某些类型的故事中提取关键事实。这些应用程序包括摘要,从新闻源创建数据库,翻译成其他语言,甚至基于新闻进行程序交易。此类应用程序计划于1991年部署。

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