Tokenization is a crucial method in natural language processing (NLP), acting as the first stage for preparing text data. Essentially, it involves dividing a larger block of content – like a phrase – into smaller units called “tokens". These tokens can be terms, symbols, or even sub-morphological segments. This change allows AI algorithms to