spaCy installation and models in NLP - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to install spaCy using pip.

NLP

pip [1] spacy

Drag options to blanks, or click blank then click option'

Alist

Binstall

Cremove

Dupdate

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'pip update spacy' which is not the correct command to install.

Using 'pip remove spacy' which uninstalls the package.

To install spaCy, you use the command pip install spacy.

2fill in blank

medium

Complete the code to download the English small model for spaCy.

NLP

python -m spacy [1] en_core_web_sm

Drag options to blanks, or click blank then click option'

Aremove

Binstall

Cupdate

Ddownload

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'install' instead of 'download' for spaCy models.

Trying to use pip to install the model directly.

To get a spaCy model, you run python -m spacy download en_core_web_sm.

3fill in blank

hard

Fix the error in the code to load the spaCy English model.

NLP

import spacy
nlp = spacy.[1]('en_core_web_sm')

Drag options to blanks, or click blank then click option'

Ainstall

Bdownload

Cload

Drun

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'download' or 'install' instead of 'load' in code.

Trying to run the model as a function.

To use a spaCy model in code, you call spacy.load() with the model name.

4fill in blank

hard

Fill both blanks to create a spaCy pipeline and process text.

NLP

import spacy
nlp = spacy.[1]('en_core_web_sm')
doc = nlp([2])

Drag options to blanks, or click blank then click option'

Aload

B'Hello world!'

C'This is a test.'

Ddownload

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'download' instead of 'load' to get the model.

Passing a variable name instead of a string to the model.

First, load the model with spacy.load(). Then pass a string like 'Hello world!' to the model to process text.

5fill in blank

hard

Fill all three blanks to extract tokens from text using spaCy.

NLP

import spacy
nlp = spacy.[1]('en_core_web_sm')
doc = nlp([2])
tokens = [token.[3] for token in doc]

Drag options to blanks, or click blank then click option'

Aload

B'Natural Language Processing is fun!'

Ctext

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'download' instead of 'load'.

Passing a variable name instead of a string.

Using 'token' instead of 'token.text' to get token strings.

Load the model with load, pass a string to process, and get token text with token.text.