Tokenization is a essential process in natural language processing (NLP), acting as the first phase for preparing text data. Essentially, it involves dividing a larger block of content – like a sentence – into smaller units called “tokens". These tokens can be terms, punctuation marks, or even sub-morphological segments. This change allows AI