Import necessary libraries.

  Took sample text.

  Build WordNetLemmatizer constructor.

  Fit the text data into the constructor.

  Lemmatize the words.

  Print the results.

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)