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.

Cet exercice fait partie du cours

Feature Engineering for NLP in Python

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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.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de 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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