Import nltk library.

  Took sample text data.

  Do tokenize the words in the text data.

  Compare text data with stop words using loops.

  Print the filtered sentence.

#import libraries
import nltk
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
stopwords = list(stopwords.words(‘english’))

print(“Common stopwords are\n\n”,stopwords,”\n”)

text =’python is a scripting language it is as one of the general purpose language’
print(“Original text\n”,text)

filtered_sentence = []
word_tokens = word_tokenize(text)
print(“\n”)
print(“Tokinized sentence”)

for w in word_tokens:
if w not in stopwords:
filtered_sentence.append(w)

print(word_tokens)
print(“\n”)
print(“After removal of stopwords\n”,filtered_sentence)