Intelligence agencies can find people, organizations from incoming data and link to their own knowledge base to reveal insights, links between cases, and accelerate investigations.
Named entity recognition, aka entity extraction, is an NLP capability that extracts entities, i.e. things with distinct and independent existence such as names, organizations, locations, products, etc., from unstructured text.
You can find our recent articles about named entity recognition on this page.
A hybrid of entity extraction methods to compensate for various strengths and weaknesses Just as you would never use a screwdriver to insert a nail, each type of entity is most accurately extracted by a different approach. There are many ways to extract entities, but no one universal solution for all entities. Different extraction methods […]
Prattle is a Fintech innovator whose system started by forecasting market reactions to central bank communications. As a member of the Basis Technology startup program Prattle uses Rosette entity extraction to detect the speakers in central bank communications. They’ve since expanded to power analyses like the blog post below: Despite what the financial press might […]