Generating word vectors

In this exercise, we will generate the pairwise similarity scores of all the words in a sentence. The sentence is available as sent and has been printed to the console for your convenience.

This exercise is part of the course

Feature Engineering for NLP in Python

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Exercise instructions

Create a Doc object doc for sent.
In the nested loop, compute the similarity between token1 and token2.

Hands-on interactive exercise

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

# Create the doc object
doc = nlp(___)

# Compute pairwise similarity scores
for token1 in doc:
  for token2 in doc:
    print(token1.text, token2.text, token1.similarity(token2))

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