Jul 25, 2024 · Tokenization is the process of creating a digital representation of a real thing. Tokenization can also be used to protect sensitive data or to efficiently process large amounts of data.

Jul 23, 2025 · But it generally refers to the process of turning financial assets - such as bank deposits, stocks, bonds, funds and even real estate - into crypto assets. This means creating a record on digital...

In data security, tokenization is the process of converting sensitive data into a nonsensitive digital replacement, called a token, that maps back to the original. Tokenization can help protect sensitive …

Tokenization is the process of breaking text into smaller meaningful units called tokens. This complete guide explains what tokenization is, how it works in NLP and LLMs, types of tokenizers, examples, …

Nov 22, 2024 · Tokenization, in the realm of Natural Language Processing (NLP) and machine learning, refers to the process of converting a sequence of text into smaller parts, known as tokens. These …

Mar 28, 2023 · Tokenization is defined as the process of hiding the contents of a dataset by replacing sensitive or private elements with a series of non-sensitive, randomly generated elements (called a …

Jul 23, 2025 · Tokenization is a fundamental process in Natural Language Processing (NLP), essential for preparing text data for various analytical and computational tasks. In NLP, tokenization involves …

Jul 9, 2025 · Data tokenization is a method of protecting sensitive information by replacing it with a non-sensitive equivalent — called a token — that has no exploitable meaning or value outside of its …

Dec 4, 2025 · Learn what tokenization means, how data tokenization works for security, differences from encryption, use cases in payments and compliance, and benefits.

Apr 17, 2025 · Data tokenization as a broad term is the process of replacing raw data with a digital representation. In data security, tokenization replaces sensitive data with randomized, nonsensitive …