Leveraging extracted entity and relation data to automatically filter data streams

摘要

Embodiments are directed to an entity extraction and filtering system that enables a close search of documents to build filters necessary for near real-time monitoring of streaming sources of information. According to an embodiment, the entity extraction and filtering system operates based on the following parameters. First, a detection of an entity of interest warrants flagging an arriving article for analyst attention. Nothing more than a match may be required. The list of entities may be derived by an entity extractor from a corpus of data. Secondly, automatic updates may be utilized, so that exports are automatically updated to the filters. Thirdly, information flowing past the filters may update a static corpus whether or not they are flagged for an analyst or user. This allows for new relationships to be detected and extracted, and the filters subsequently updated.