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Python NLTK | nltk.WhitespaceTokenizer

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  • Last Updated : 07 Jun, 2019
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With the help of nltk.tokenize.WhitespaceTokenizer() method, we are able to extract the tokens from string of words or sentences without whitespaces, new line and tabs by using tokenize.WhitespaceTokenizer() method.

Syntax : tokenize.WhitespaceTokenizer()
Return : Return the tokens from a string

Example #1 :
In this example we can see that by using tokenize.WhitespaceTokenizer() method, we are able to extract the tokens from stream of words.




# import WhitespaceTokenizer() method from nltk
from nltk.tokenize import WhitespaceTokenizer
     
# Create a reference variable for Class WhitespaceTokenizer
tk = WhitespaceTokenizer()
     
# Create a string input
gfg = "GeeksforGeeks \nis\t for geeks"
     
# Use tokenize method
geek = tk.tokenize(gfg)
     
print(geek)


Output :

[‘GeeksforGeeks’, ‘is’, ‘for’, ‘geeks’]

Example #2 :




# import WhitespaceTokenizer() method from nltk
from nltk.tokenize import WhitespaceTokenizer
     
# Create a reference variable for Class WhitespaceTokenizer
tk = WhitespaceTokenizer()
     
# Create a string input
gfg = "The price\t of burger \nin BurgerKing is Rs.36.\n"
     
# Use tokenize method
geek = tk.tokenize(gfg)
     
print(geek)


Output :

[‘The’, ‘price’, ‘of’, ‘burger’, ‘in’, ‘BurgerKing’, ‘is’, ‘Rs.36.’]

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