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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

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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