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.
This exercise is part of the course
Advanced NLP with spaCy
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# 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'])