上市公司事件知识图谱的因果关系抽取方法研究

Research on Causal Relationship Extraction Method of Event Knowledge Map of Listed Companies

随着知识图谱的兴起与发展,其在事件梳理方面的应用也越来越广泛。基于知识图谱构建上市公司重要事件的发展脉络及影响链,有助于监管机构或投资者全面了解上市公司事件的发展态势。目前,已经有科研人员将知识图谱应用到金融领域,但仍存在准确度低/覆盖面不全等问题。针对以上问题,本文基于上市公司财经新闻、报导等信息,构建了上市公司事件知识图谱,并使用Neo4j图数据库对上市公司热点事件进行可视化建模。

With the rise and development of knowledge map, it is more and more widely used in event sorting. Based on the knowledge map, the development context and influence chain of important events of listed companies are constructed, which will help regulators or investors fully understand the development trend of events of listed companies. At present, some researchers have applied the knowledge map to the financial field, but there are still some problems, such as low accuracy and incomplete coverage. To solve the above problems, based on the financial news and reports of listed companies, this paper constructs the event knowledge map of listed companies, and uses the Neo4j diagram database to visually model the hot events of listed companies.