Text Processing Wizardry: NLTK Essentials for Natural Language Handling
RegexpTokenizer is a class in NLTK that allows users to tokenize text data using regular expressions. Regular expressions are patterns that can be used to match specific patterns in text data, such as words or punctuation.
RegexpTokenizer can be useful for tasks that require more customized tokenization, such as identifying specific types of words or phrases. It allows for greater flexibility and control over the tokenization process, making it a powerful tool in natural language processing.
- Instanciate a
- Call the
.tokenize()method of the
tokenizerobject on the
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