How can you tokenize text for generative AI models using NLTK s word tokenize

Question

Can you tell me how i can tokenize text for generative AI models using NLTK's word_tokenize?

Answer 1

To tokenize text for generative AI models using NLTK's word_tokenize, you can follow the steps below:

• Install and Import NLTK: Ensure NLTK is installed and the necessary resources are downloaded.
• Tokenize Text: Use word_tokenize() to split the text into individual words (tokens).

Here is the code snippet you can refer to:

In the above code, we are using word_tokenize(), which splits the input text into tokens (words and punctuation) using rules specific to English grammar and NLTK’s punkt tokenizer, which ensures that punctuation marks are treated separately from words.

Hence, this method is effective for preparing text data for generative models, as it provides clean, tokenized inputs.