Tokenization is a crucial method in natural language processing (NLP), acting as the beginning stage for preparing text data. Essentially, it involves splitting up a larger block of content – like a sentence – into smaller units called “segments". These tokens can be terms, symbols, or even sub-morphological segments. This conversion allows A