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Entity Extraction

Enhance Data Analysis with Automatic Extraction of People, Places and Things: Leverage 500+ Classes and 2,500+ Properties to Identify Over 5 Million Entities

Entity Extraction

DigitalStakeout Scout uses advanced natural language processing  techniques to extract and organize information about people, places, and  things mentioned in unstructured data. With access to a frequently  updated source of over 500 classes and 2,500 properties, Scout can  automatically identify over 5 million mentions of these entities. This  process helps organizations quickly and easily identify relevant  information within large amounts of data, making data analysis more  efficient and accurate.

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