Stems and lemmas from GoT
In this exercise, you are given a couple of sentences from George R.R. Martin's Game of Thrones. Your task is to create stems and lemmas from the given GoT string.
Remember that stems reduce a word to its root whereas lemmas produce an actual word. However, speed can differ significantly between the methods with stemming being much faster. In Steps 2 and 3, pay attention to the total time it takes to perform each operation. We're making use of the time.time() method to measure the time it takes to perform stemming and lemmatization.
This exercise is part of the course
Sentiment Analysis in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import the required packages from nltk
from nltk.stem import ____, ____
from nltk import word_tokenize
porter = PorterStemmer()
WNlemmatizer = WordNetLemmatizer()
# Tokenize the GoT string
tokens = ____(GoT)