POLECAT Weekly Data

The POLitical Event Classification, Attributes, and Types (POLECAT) dataset is the successor event dataset to the Integrated Crisis Early Warning System (ICEWS). Event data consists of coded interactions between socio-political actors (i.e., cooperative or hostile actions between individuals, groups, sectors, and nation states). POLECAT uses a newly developed, machine-learning coder based on the Political Language Ontology for Verifiable Event Records (PLOVER) ontology to produce an event database by analyzing news stories in seven languages from over one-thousand sources across the globe. The database includes millions of time-stamped, geolocated events from 2018 onward, is updated hourly, and posted weekly. Each event includes several attributes, as defined in the included POLECAT Dictionary and PLOVER Manual. Please see the companion POLECAT Dataverse page at doi.org/10.7910/DVN/LMFPIP for associated documentation.政治事件分类、属性与类型（POLitical Event Classification, Attributes, and Types, POLECAT）数据集是综合危机早期预警系统（Integrated Crisis Early Warning System, ICEWS）的后继事件数据集。其事件数据指对社会政治行为体间交互的编码记录，即个体、群体、部门与民族国家之间的合作或对抗行动。POLECAT采用基于可验证事件记录政治语言本体（Political Language Ontology for Verifiable Event Records, PLOVER）开发的新型机器学习编码器，通过分析全球超千家信源发布的七种语言新闻报道，生成事件数据库。该数据库收录了2018年以来的数百万条带时间戳、地理定位的事件，每小时更新、每周发布。每个事件均包含POLECAT词典与PLOVER手册中定义的多项属性。相关文档可参阅配套的POLECAT数据仓储页面（doi.org/10.7910/DVN/LMFPIP）。