Tokenization is a vital method in natural language processing (NLP), acting as the initial phase for preparing text data. Essentially, it involves breaking down a larger block of content – like a paragraph – into smaller units called “segments". These tokens can be terms, symbols, or even sub-lexical segments. This change allows AI systems to