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