Python samples for word lemmatizing using nltk library in NLP

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

Sample text

Lemittized words.

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)

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