Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Regexp Tokenizer | Natural Language Handling
Natural Language Handling
course content

Зміст курсу

Natural Language Handling

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.

Завдання

  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.

Завдання

  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

Все було зрозуміло?

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.

Завдання

  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
Секція 1. Розділ 9
AVAILABLE TO ULTIMATE ONLY
We're sorry to hear that something went wrong. What happened?
some-alt