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
Exercise instructions
- Use
spacy.load()
to load theen_core_web_sm
model. - Create a Doc instance
doc
usingtext
andnlp
. - 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(____, ____)