Tokenizing the Gettysburg Address
In this exercise, you will be tokenizing one of the most famous speeches of all time: the Gettysburg Address delivered by American President Abraham Lincoln during the American Civil War.
The entire speech is available as a string named gettysburg
.
This exercise is part of the course
Feature Engineering for NLP in Python
Exercise instructions
- Load the
en_core_web_sm
model usingspacy.load()
. - Create a Doc object
doc
for thegettysburg
string. - Using list comprehension, loop over
doc
to generate the token texts.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
import spacy
# Load the en_core_web_sm model
nlp = ____.____(____)
# Create a Doc object
doc = ____(____)
# Generate the tokens
tokens = [token.____ for token in ____]
print(tokens)