The Extraction Bundle includes text analysis for intelligence processing, which can identify and tag more than 25 entity types in a document. ThingFinder can also be trained to recognize list-based entities such as people of interest. Inxight ThingFinder Advanced extends these capabilities by allowing users to define custom entities and simple link types based on patterns in text, leveraging Inxight's language analysis as the starting point for pattern-building. New entity types for the counter-terrorism effort are now available, including weapons, facilities, vehicles, geo-coordinates, and MGRS numbers. Vast quantities of textual data stream in and need to be categorized, summarized, and clustered, and mission-critical data elements must be extracted, stored appropriately, and linked within and across documents. Inxight ThingFinder and ThingFinder Advanced enable users to discover and extract more than 25 entity types in unstructured text, even those not yet on watch lists; extract entities in more than 20 languages, including Arabic, Chinese, Farsi, Korean, and Spanish; perform aliasing, variant detection, and relevance ranking; monitor watch lists using the Name Catalog; and define custom entities and link extraction. (www.inxight.com) |
