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.
Cet exercice fait partie du cours
Advanced NLP with spaCy
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de 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'])