Tokenization

Tokenization is a process in natural language processing where text is segmented into smaller units called tokens.

Tokenization is used in various NLP tasks such as text classification, sentiment analysis, and machine translation. It helps in breaking down text into manageable pieces for algorithms to process.

Tokenization works by splitting text into words, subwords, or sentences. This can be done using simple rules like whitespace separation or more complex methods like subword tokenization. For example, the sentence "Machine learning is fun!" can be tokenized into ["Machine", "learning", "is", "fun", "!"].