Tag: Entity Extraction

Entity extraction  is the process of identifying words in a given text that refer to people, places, products, organizations, etc. by using different extraction methods such as statistical or deep neural network processors, exact match processors, and pattern matching processors. When used together with entity resolution, the extracted words can be mapped to real life entities.

You can find our recent articles about entity extraction on this page.

Mining Gold from Big Data with Text Analytics

15 Feb 2012

Sunday’s New York Times featured a news analysis article about the age of big data and how that means more analysis and technologies are being applied to domains which formerly seemed removed from data crunching—political science, sports, advertising, public health, and more. Technology reporter Steve Lohr highlights “a drift toward data-driven discovery and decision-making.” Although the article […]


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