Processing streams
In this exercise, you'll be using nlp.pipe for more efficient text processing. The nlp object has already been created for you. A list of tweets about a popular American fast food chain are available as the variable TEXTS.
Este exercício faz parte do curso
Advanced NLP with spaCy
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Process the texts and print the adjectives
for text in TEXTS:
doc = nlp(text)
print([token.text for token in doc if token.pos_ == 'ADJ'])