Named entities in a sentence

In this exercise, we will identify and classify the labels of various named entities in a body of text using one of spaCy's statistical models. We will also verify the veracity of these labels.

This exercise is part of the course

Feature Engineering for NLP in Python

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Exercise instructions

Use spacy.load() to load the en_core_web_sm model.
Create a Doc instance doc using text and nlp.
Loop over doc.ents to print all the named entities and their corresponding labels.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Load the required model
nlp = ____.____(____)

# Create a Doc instance 
text = 'Sundar Pichai is the CEO of Google. Its headquarters is in Mountain View.'
doc = ____

# Print all named entities and their labels
for ent in ____:
    print(____, ____)

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