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Python NLTK | nltk.WhitespaceTokenizer

  • Last Updated : 07 Jun, 2019

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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