Python NLTK | nltk.WhitespaceTokenizer
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.
from nltk.tokenize import WhitespaceTokenizer
tk = WhitespaceTokenizer()
gfg = "GeeksforGeeks \nis\t for geeks"
geek = tk.tokenize(gfg)
print (geek)
|
Output :
[‘GeeksforGeeks’, ‘is’, ‘for’, ‘geeks’]
Example #2 :
from nltk.tokenize import WhitespaceTokenizer
tk = WhitespaceTokenizer()
gfg = "The price\t of burger \nin BurgerKing is Rs.36.\n"
geek = tk.tokenize(gfg)
print (geek)
|
Output :
[‘The’, ‘price’, ‘of’, ‘burger’, ‘in’, ‘BurgerKing’, ‘is’, ‘Rs.36.’]
Last Updated :
07 Jun, 2019
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