Regexp Tokenizer

RegexpTokenizer is a class in NLTK designed for tokenizing text data with the use of regular expressions. These expressions are powerful patterns capable of matching specific sequences in text, like words or punctuation marks.

The RegexpTokenizer is particularly advantageous for scenarios demanding customized tokenization.

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Import the RegexpTokenizer for tokenization based on a regular expression pattern from NLTK.
Create a tokenizer that splits text into words using a specific regular expression.
Tokenize the lemmatized words to create a list of words.

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# Import RegexpTokenizer for tokenization based on a regular expression pattern

from nltk.tokenize import RegexpTokenizer

# Create a tokenizer that splits text into words using a regular expression

tokenizer = RegexpTokenizer(r"\w+")

# Tokenize the lemmatized words, creating a list of words

story_tokenized = tokenizer.tokenize(" ".join(lemmatized_words))

# Display the tokenized story

story_tokenized

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