Token

In Data Science and Artificial Intelligence, a token refers to a sequence of characters that represents a unit of meaning for processing. Tokens are used in natural language processing (NLP) to break down text into smaller units for analysis. These units can be words, phrases, or even individual characters. Tokens are often created by removing punctuation and other non-essential characters from text, and then separating the remaining text into individual units. Tokens can be used for a variety of purposes, such as sentiment analysis, topic modeling, and text classification. They are also used in machine learning algorithms to represent text data in a numerical format that can be processed by computers.

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Telecommunications: Telecommunications is the transmission of information over a distance for the purpose of communication. In the context of data science and artificial intelligence, telecommunications refers to the use of technology to transmit and receive d ... Read More >>
Geocodes: Geocodes are a set of geographic coordinates (latitude and longitude) that represent a physical location on the Earth's surface. In data science, geocodes are used to analyze and visualize spatial data, such as mapping the distribution of a ... Read More >>
Non-volatile Memory: Non-volatile memory (NVM) is a type of computer memory that can retain stored information even after power is turned off. NVM is used in applications where persistent storage is required, such as in solid-state drives (SSDs), USB flash driv ... Read More >>

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