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Data structures best practices

The code in this example is trying to analyze a text and collect all proper nouns. If the token following the proper noun is a verb, it should also be extracted. A doc object has already been created.

# Get all tokens and part-of-speech tags
pos_tags = [token.pos_ for token in doc]

for index, pos in enumerate(pos_tags):
    # Check if the current token is a proper noun
    if pos == 'PROPN':
        # Check if the next token is a verb
        if pos_tags[index + 1] == 'VERB':
            print('Found a verb after a proper noun!')

This exercise is part of the course

Advanced NLP with spaCy

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