Get started with text analysis

Azure AI Language is a part of the Azure AI services offerings that can perform advanced natural language processing over unstructured text. Azure AI Language’s text analysis features include:

  • Named entity recognition identifies people, places, events, and more. This feature can also be customized to extract custom categories.
  • Entity linking identifies known entities together with a link to Wikipedia.
  • Personal identifying information (PII) detection identifies personally sensitive information, including personal health information (PHI).
  • Language detection identifies the language of the text and returns a language code such as “en” for English.
  • Sentiment analysis and opinion mining identifies whether text is positive or negative.
  • Summarization summarizes text by identifying the most important information.
  • Key phrase extraction lists the main concepts from unstructured text.

Entity recognition and linking

You can provide Azure AI Language with unstructured text and it will return a list of entities in the text that it recognizes. An entity is an item of a particular type or a category; and in some cases, subtype, such as those as shown in the following table.Expand table

TypeSubTypeExample
Person“Bill Gates”, “John”
Location“Paris”, “New York”
Organization“Microsoft”
QuantityNumber“6” or “six”
QuantityPercentage“25%” or “fifty percent”
QuantityOrdinal“1st” or “first”
QuantityAge“90 day old” or “30 years old”
QuantityCurrency“10.99”
QuantityDimension“10 miles”, “40 cm”
QuantityTemperature“45 degrees”
DateTime“6:30PM February 4, 2012”
DateTimeDate“May 2nd, 2017” or “05/02/2017”
DateTimeTime“8am” or “8:00”
DateTimeDateRange“May 2nd to May 5th”
DateTimeTimeRange“6pm to 7pm”
DateTimeDuration“1 minute and 45 seconds”
DateTimeSet“every Tuesday”
URLhttps://www.bing.com
Emailsupport@microsoft.com
US-based Phone Number“(312) 555-0176”
IP Address“10.0.1.125”

Azure AI Language also supports entity linking to help disambiguate entities by linking to a specific reference. For recognized entities, the service returns a URL for a relevant Wikipedia article.

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