Entity labels
The following are are the types of named entities that can be recognized by Natural Language Understanding (NLU) analysis:
Labels | Description | Example |
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People | Hakeem Olajuwon dunked effortlessly. |
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Companies | Tesla Inc. sold 10% of its Bitcoin holdings. |
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Organizations | Now they threaten to quit the United Nations if they are not heard. |
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Mass media | I read it in the Guardian. |
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Geography | Alaska is the least densely populated state in the United States. |
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Environment | I crossed the Mississippi river with my boat. |
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Building | While in London I attended a concert at the Royal Albert Hall. |
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Date | Napoleon died on May 5, 1821. |
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Money | I sold half of my stocks and made six hundred thousand dollars. |
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Measure | The chest is five feet wide and 40 inches tall. |
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Phone number | For poor database design, call (214) 748-3647. |
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Email address | For any questions do not hesitate to write to [email protected]. |
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Street address | Who lived at 221B Baker Street? |
Note
In the list view of the Documents tab of project dashboards, the Entities tab in the left panel lists all the types above, but with the following peculiarties:
- Companies and Mass Media are considered sub-types of Organizations
- Building and Environment are considered sub-types of Geography
Expand the Organizations and the Geography labels to see the sub-types.