Tokenization is the process of breaking text or data into smaller units, called tokens. Tokens can be words, phrases, or individual characters, and this process is commonly used in natural language processing (NLP) and data analysis.
In NLP, tokenization involves splitting a sentence or paragraph into individual words or phrases to facilitate analysis. For example, the sentence "Natural language processing is fascinating" would be tokenized into ["Natural", "language", "processing", "is", "fascinating"].
