With the help of
nltk.tokenize.SpaceTokenizer() method, we are able to extract the tokens from string of words on the basis of space between them by using
Return : Return the tokens of words.
Example #1 :
In this example we can see that by using
tokenize.SpaceTokenizer() method, we are able to extract the tokens from stream to words having space between them.
[‘Geeksfor’, ‘Geeks..’, ‘.$$&*’, ‘\nis\t’, ‘for’, ‘geeks’]
Example #2 :
[‘The’, ‘price\t’, ‘of’, ‘burger’, ‘\nin’, ‘BurgerKing’, ‘is’, ‘Rs.36.\n’]
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- Python NLTK | nltk.tokenize.LineTokenizer
- Python NLTK | nltk.tokenize.SExprTokenizer()
- Python NLTK | nltk.tokenize.TabTokenizer()
- Python NLTK | nltk.tokenize.mwe()
- Python NLTK | nltk.TweetTokenizer()
- Python NLTK | nltk.WhitespaceTokenizer
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- Python NLTK | tokenize.WordPunctTokenizer()
- Python NLTK | tokenize.regexp()
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- Tokenize text using NLTK in python
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