Tokenization breaks the raw text into words, sentences called tokens. These tokens help in understanding the context or developing the model for the NLP. The tokenization helps in interpreting the meaning of the text by analyzing the sequence of the words. ... Tokenization can be done to either separate words or sentences.

What is the purpose of tokenization?

The purpose of tokenization is to protect sensitive data while preserving its business utility. This differs from encryption, where sensitive data is modified and stored with methods that do not allow its continued use for business purposes. If tokenization is like a poker chip, encryption is like a lockbox.

What is Tokenize in NLP?

What is Tokenization in NLP? ... Tokenization is essentially splitting a phrase, sentence, paragraph, or an entire text document into smaller units, such as individual words or terms. Each of these smaller units are called tokens.