论文标题
使用新闻文章和财务数据来预测破产的可能性
Using News Articles and Financial Data to predict the likelihood of bankruptcy
论文作者
论文摘要
在过去的十年中，数以百万计的公司申请破产。这是由于众多原因，即高利率，沉重的债务和政府法规引起的。公司破产的影响可能是毁灭性的，不仅伤害了工人和股东，而且会伤害客户，供应商和任何相关的外部公司。本文的目的之一是为公司破产提供一个框架，可以通过利用我们的外部数据集提供的财务数字以及有关某些部门的新闻文章的观点来预测。新闻文章用于尝试从外部角度量化公司及其部门的情感，而不是简单地使用内部数字。这项工作以多个研究人员进行的先前研究为基础，以使我们更加接近减少此类事件的影响。
Over the past decade, millions of companies have filed for bankruptcy. This has been caused by a plethora of reasons, namely, high interest rates, heavy debts and government regulations. The effect of a company going bankrupt can be devastating, hurting not only workers and shareholders, but also clients, suppliers and any related external companies. One of the aims of this paper is to provide a framework for company bankruptcy to be predicted by making use of financial figures, provided by our external dataset, in conjunction with the sentiment of news articles about certain sectors. News articles are used to attempt to quantify the sentiment on a company and its sector from an external perspective, rather than simply using internal figures. This work builds on previous studies carried out by multiple researchers, to bring us closer to lessening the impact of such events.
