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发明公开
CN109670837A 债券违约风险的识别方法、装置、计算机设备和存储介质 审中-实审

债券违约风险的识别方法、装置、计算机设备和存储介质
摘要：
本申请涉及一种债券违约风险的识别方法、装置、计算机设备和存储介质。该方法包括：当接收到终端发送的查询请求时，获取待识别债券的关联信息，确定出待识别债券的目标行业类型以及目标发行企业；从数据库中获取与待识别债券相关的第一新闻语料数据；从第一新闻语料数据中提取事件关键词，将事件关键词与预设的违约事件标签库中的事件标签进行匹配，得到匹配结果；根据匹配结果确定待识别债券的违约风险等级；将匹配结果以及违约风险等级发送至终端，使得终端展示匹配结果以及违约风险等级。本方法基于大数据处理技术，实现对待识别债券进行全面的风险识别以及风险点的跟踪把控，为投资者提供债券违约风险点的全面、直观的债券违约风险评价。
摘要（英）：

The invention relates to a bond default risk identification method and device, a computer device and a storage medium. The method comprises the following steps of when a query request sent by a terminal is received, obtaining association information of a to-be-identified bond, and determining a target industry type and a target issuing enterprise of the to-be-identified bond; obtaining first newscorpus data related to the bond to be identified from a database; extracting an event keyword from the first news corpus data, and matching the event keyword with event tags in a preset default eventtag library to obtain a matching result; determining a default risk level of the bond to be identified according to a matching result; and sending the matching result and the default risk level to theterminal, so that the terminal displays the matching result and the default risk level. The method is based on the big data processing technology, comprehensive risk identification and risk point tracking control are carried out on the bond to be identified, and the comprehensive and visual bond default risk evaluation of the bond default risk point is provided for investors.

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