2


import nltk

from nltk.corpus import stopwords

from nltk.tokenize import word_tokenize

nltk.download('stopwords')

nltk.download('punkt')

def remove_stopwords(text):

words = word_tokenize(text)

english_stopwords = set(stopwords.words('english'))

filtered_words = [word for word in words if word.lower() not in english_stopwords]

filtered_text = ' '.join(filtered_words)

return filtered_text

text = "NLTK is a leading platform for building Python programs to work with human language

data."

filtered_text = remove_stopwords(text)

print(filtered_text)

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