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How to do word lemmatizing using nltk library in NLP
Description

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

Input

Sample text

Output

Lemittized words.

Process

  Import necessary libraries.

  Took sample text.

  Build WordNetLemmatizer constructor.

  Fit the text data into the constructor.

  Lemmatize the words.

  Print the results.

Sapmle Code

from nltk.stem import WordNetLemmatizer

#sample words
example_words = [“studies”,”leaves”,”vibes”,”rocks”,”corpora”]

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

#stemmer constructor
wl = WordNetLemmatizer()

re = []
for i in example_words:
re.append(wl.lemmatize(i))
print(“After Lemmatizing”)
print(re)

Screenshots