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How to do word stemming using nltk library in NLP
Description

To understand how to do word stemming in natural language processing using nltk library.

Input

Sample text

Output

Prefix or suffix removed words.

Process

  Import necessary libraries.

  Took sample text.

  Build portstemmer constructor.

  Fit the text data into the constructor.

  Stem the words.

  Print the results.

Sapmle Code

from nltk.stem import PorterStemmer

#sample words
example_words=[“studies”,”leaves”,”pythoning”,”pythoned”,”pythonly”,”having”]

print(“Sample words”)
print(example_words)
print(“\n”)

#stemmer constructor
ps = PorterStemmer()

re = []
for i in example_words:
re.append(ps.stem(i))
print(“After stemming”)
print(re)

Screenshots