Harvest Entities in Text

TextCases and TextContents use a neural network to recognize a variety of text contents such as entities or quantitative elements. This example demonstrates their capabilities on a Wikipedia page.

Load the text of a Wikipedia page about the Moon.

Extract notable text contents from the page.

Visualize the frequency of content types found on the page.

Find potential notable persons identified on the page.

Interpret these persons as entities.

Visualize occupations of these persons.

Related Examples

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