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 …

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 …

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 …

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 …

Tokenization, when applied to data security, is the process of substituting a sensitive data element with a non-sensitive equivalent, referred to as a token, that has no intrinsic or exploitable …

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 …

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, …

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 …

Feb 7, 2023 · Tokenization is the process of replacing sensitive data with unique identification symbols that retain all the essential information about the data without compromising its security.

Sep 26, 2024 · Tokenization is more than just splitting text; it’s about preparing language data in a way that preserves meaning and context for computational models. Different tokenization …