Before we go to the definition of DeNisting, let us first define the word NIST.
NIST is an acronym that refers to the National Institute of Standards and Technology (NIST) a federal agency that promotes innovation and industrial competitiveness. NIST is perhaps best known for its role in developing the standards that are used in many industries, including computer security and forensics, healthcare, manufacturing, and communications.
A digital signature is used in NIST’s cryptographic standard. This is an algorithm that allows someone to verify the authenticity of a digital document or message. The basic idea is that a person can use their private key to sign a document, and then anyone with the person’s public key can verify that the signature is valid. A valid digital signature, where the prerequisites are satisfied, gives a recipient a very strong reason to believe that the message was created by a known sender (authentication) and that it has not been altered in transit (integrity).
NIST is also responsible for developing the standards that are used in many industries for digital signatures. These standards help ensure the authenticity of digital messages and documents and help to protect against alteration during transit.
Now that we have the idea of what NIST is, we easily get the gist of deNIST.
Denist is the process of removing named entities from text. This can be done for a variety of reasons, including reducing the size of the text corpus, improving entity recognition, or simply making the text more difficult to read. DeNisting is sometimes also referred to as “entity removal” or “named entity pruning.”
DeNisting can be used for a variety of purposes, but it is most commonly used in the text analytics industry to reduce the size of the text corpus, improve entity recognition, or simply make the text more difficult to read. DeNisting is sometimes also referred to as “entity removal” or “named entity pruning.”
DeNisting is sometimes confused with de-identification, which is the process of removing personally identifiable information (PII) from text. However, DeNisting only removes named entities, while de-identification can remove any information that could be used to identify an individual.