Tokenization is a essential process in natural language processing (NLP), acting as the initial point for preparing text data. Essentially, it involves splitting up a larger block of text – like a paragraph – into smaller units called “tokens". These tokens can be terms, symbols, or even sub-lexical segments. This conversion allows AI systems