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 ejercicio forma parte del curso
Advanced NLP with spaCy
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# 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'])