Entity Extraction
Entity Extraction
Mature

Live Demo:

Finds 18 types of entities out of the box, including names of people, places, products, organizations in 19 languages.

Uncover The Entities Hiding In Your Data


Entity extraction delivers structure, clarity and insight

What invaluable data is hiding in your volumes of unstructured text?

Extreme accuracy

Rosette’s statistically trained models are among the most accurate on the market. The named entity recognition is context-sensitive. That means Rosette can tell the difference between “Apple” when it’s a company name or just a fruit. Or, the difference between the “Newton” of Mr. Isaac Newton and the cookie, Fig Newton.

Adaptable and customizable

Rosette Entity Extraction is unique in its adaptability. A quantity of your data added to the entity extraction model lets Rosette more accurately find entities in your target data, or add new entity types.

Scalable

From desktop to cloud, we have you covered with our robust SDK and RESTful cloud API.

Entity extraction in action

Who uses entity extraction?

  • Publishers and search engines use entities like people, places, and organizations as metadata for documents to allow fine-grained, targeted searches.
  • In government intelligence, millions of documents can be triaged and prioritized for examination by human analysts based on the who, what, where and when is mentioned.
  • Entity extraction also supports higher-level analyses such as predictive analytics, open source intelligence, and tracking news on products or organizations in social media. Read a Case Study…

Select Customers Include:

Attivio Bing Kobo KPMG Dassault

Blog: Adapt Rosette’s Entity Extraction to Your Content for Increased Accuracy

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Forecasting the Future: The EMBERS Predictive Analytics Success Story

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Supported Languages & Features

19 Languages

  • Arabic
  • Chinese, Simp.
  • Chinese, Trad.
  • Dutch
  • English
  • French
  • German
  • Hebrew
  • Indonesian
  • Italian
  • Japanese
  • Korean
  • Malay
  • Pashto
  • Persian
  • Portuguese
  • Russian
  • Spanish
  • Urdu

Entity Types

  • Person
  • Location
  • Organization
  • Product
  • Title
  • Nationality
  • Religion
  • Credit Card
  • Lat/Long
  • Money
  • Number
  • ID Number
  • Phone
  • Email
  • URL
  • Distance
  • Date
  • Time