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Natural Language Handling
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Natural Language Handling

Natural Language Handling

IntroductionImport NLTKTokenizationStopwordsList ComprehensionStemmingTaggingLemmatizerRegexp TokenizerData VisualizationWord Cloud

bookRegexp 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.

Task

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

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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.

Task

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

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 9
AVAILABLE TO ULTIMATE ONLY
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