Exploring the model
Let's see how the model performs on unseen data! To speed things up a little, here's a trained model for the label 'GADGET', using the examples from the previous exercise, plus a few hundred more. The loaded model is already available as the nlp object. A list of test texts is available as TEST_DATA.
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 each text in TEST_DATA
for ____ in ____:
# Print the document text and entitites
print(____)
print(____, '\n\n')