👉 Tokenizing is a process in natural language processing (NLP) where tokens are identified and separated from sentences, paragraphs or documents. These tokens can be used for various applications such as text mining, named entity recognition (NER), sentiment analysis, etc. Tokenization helps to reduce the size of the input data by breaking it down into smaller, manageable chunks.
