With the help of
nltk.tokenize.SExprTokenizer() method, we are able to extract the tokens from string of characters or numbers by using
tokenize.SExprTokenizer() method. It actually looking for proper brackets to make tokens.
Return : Return the tokens from a string of characters or numbers.
Example #1 :
In this example we can see that by using
tokenize.SExprTokenizer() method, we are able to extract the tokens from stream of characters or numbers by taking brackets in consideration.
[‘( a * ( b+c ))’, ‘ab’, ‘( a-c )’]
Example #2 :
[‘(a b)’, ‘c’, ‘d’, ‘(e f)’]
- Python NLTK | nltk.tokenize.StanfordTokenizer()
- Python | NLTK nltk.tokenize.ConditionalFreqDist()
- Python NLTK | nltk.tokenize.TabTokenizer()
- Python NLTK | nltk.tokenize.LineTokenizer
- Python NLTK | nltk.tokenizer.word_tokenize()
- Python NLTK | nltk.tokenize.SpaceTokenizer()
- Python NLTK | nltk.WhitespaceTokenizer
- Python NLTK | nltk.tokenize.mwe()
- Python NLTK | nltk.TweetTokenizer()
- Python | Lemmatization with NLTK
- Python NLTK | tokenize.WordPunctTokenizer()
- Python | Stemming words with NLTK
- Tokenize text using NLTK in python
- Python | Gender Identification by name using NLTK
- Python NLTK | tokenize.regexp()
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to email@example.com. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.