Extract entities

Named Entity Recognition identifies entities that are mentioned in the text. Entities are grouped into categories and subcategories, for example:

• Person
• Location
• DateTime
• Organization
• Address
• Email
• URL

Input for entity recognition is similar to input for other Azure Language API functions:

# Example text to analyze
documents = ["Microsoft was founded on April 4, 1975 by Bill Gates and Paul Allen in Albuquerque, New Mexico.",
             "Satya Nadella became CEO of Microsoft on February 4, 2014."]

# Extract named entities
response = client.recognize_entities(documents=documents)
for doc in response:
    print(f"Entities in document {doc.id}:")
    for entity in doc.entities:
        print(f" - {entity.text} ({entity.category})")

The response includes a list of categorized entities found in each document:

Entities in document 0:
 - Microsoft (Organization)
 - April 4, 1975 (DateTime)
 - Bill Gates (Person)
 - Paul Allen (Person)
 - Albuquerque (Location)
 - New Mexico (Location)
Entities in document 1:
 - Satya Nadella (Person)
 - CEO (PersonType)
 - Microsoft (Organization)
 - February 4, 2014. (DateTime)