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Tokenization with spaCy

In this exercise, you'll practice tokenizing text. You'll use the first review from the Amazon Fine Food Reviews dataset for this exercise. You can access this review by using the text object provided.

The en_core_web_sm model is already loaded for you. You can access it by calling nlp(). You can use list comprehension to compile output lists.

Este exercício faz parte do curso

Natural Language Processing with spaCy

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Instruções do exercício

  • Store Doc container for the pre-loaded review in a document object.
  • Store and review texts of all the tokens of the document in the variable first_text_tokens.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Create a Doc container of the given text
document = ____(____)
    
# Store and review the token text values of tokens for the Doc container
first_text_tokens = [____ for ____ in ____]
print("First text tokens:\n", first_text_tokens, "\n")
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