Tokenization is the process of breaking down a piece of text into smaller units called tokens. These tokens can be individual words, phrases, or even characters, depending on the specific requirements. Tokenization is commonly used in natural language processing and information retrieval tasks to facilitate analysis and processing of textual data. By dividing text into tokens, it becomes easier to perform tasks such as text classification, sentiment analysis, and language modeling. Tokenization plays a crucial role in various applications, including search engines, chatbots, and machine translation systems.