What is the definition of Token?

Something serving as an expression of something else.

Alright class, settle down, let’s take a look! That dictionary definition – “Something serving as an expression of something else” – is a good starting point, but it can be a little tricky to grasp. Let's break it down with a little rhyme, you see: A ‘token,’ my dears, isn’t just one thing, It represents something, let your knowledge sing! Think about it like this: a single rose, so sweet, Might be a 💎token💎 of love, a gesture complete. It shows how much someone cares. Or maybe a small gift – a pebble bright, A 💎token💎 remembrance, shining with light. It reminds you of a special day or night. More broadly, it can mean: 💎
A symbol:
Like a flag waving high and free, it shows what a country wants to be! 💎
A representation:
A drawing on a map, that shows where a city's at! 💎
A small amount:
"Just a token effort," means you tried with all your might. Essentially, a 'token’ is something given or used 💎to represent💎 another idea, feeling, or thing. It’s about conveying meaning beyond its physical form. Do you have any questions? Let's discuss!

Common SQL Column

SELECT 💎 FROM table_name WHERE column_name = 'token';

Token worth refers to the value of a token, such as a stock or cryptocurrency, in relation to its market price. It is calculated by taking into account factors such as the underlying assets it represents and the rate of return that investors are willing to pay for them. Token worth can be influenced by various economic and regulatory factors, making it an important factor to consider when evaluating investments.

tokenworth

Tokens are small pieces of information that can be used to represent text, speech or other types of content. They consist of a set of characters (usually represented by Unicode code points) that serve as the building blocks for the structure and meaning of these representations. In programming languages like Python, Java, C++, etc., tokens are typically defined in the source code language they are used in. These tokens can include words, punctuation marks, numbers, symbols, and control characters such as semicolons or

tokens

Tokenless refers to a concept in computer science and artificial intelligence where there is no need for physical tokens or identifiers. Instead, data is stored as binary code that can be transmitted over a network without requiring a human-readable identifier. This technology is used in various applications such as blockchain networks, smart contracts, and machine learning models.

tokenless

Tokenization is a process of breaking down text into smaller, manageable units called tokens. This can be done for various purposes such as natural language processing (NLP), machine translation, and web scraping. In NLP, tokenization helps in reducing large documents or texts to smaller pieces that can be processed by algorithms more efficiently. For instance, in sentiment analysis tasks, we might want to break down a review text into sentences for further analysis. In machine translation, tokenization is used to convert words

tokenize

A tokenism is a type of discourse in which an individual uses tokens (words or symbols) to express their ideas or opinions, rather than using sentences. In other words, tokens are not grammatical units but rather symbols that serve as placeholders for the actual meaning of the sentence. This can be seen in various forms of communication, including writing, speech, and literature.

tokenisms

The term "tokenized" is a technical term in machine learning and artificial intelligence that refers to a set of data points that are organized into a structured format, often represented as a list or array. In this context, "tokenized" means that the input data has been preprocessed so that it can be easily processed by a machine learning algorithm. This typically involves converting text into numerical features such as words, phrases, and sentences, which can then be used to train a machine learning model on

tokened

Tokenism is a philosophical and literary movement that emerged in the 19th century, characterized by a focus on the use of symbols or tokens to convey ideas or concepts rather than literal words. This approach emphasizes the power of language and its ability to evoke emotions and create meaning through the use of symbols. The term "tokenism" was coined by French philosopher and poet Jean-Paul Sartre in his essay "Being and Nothingness." In this work, Sartre argues that language

tokenism

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.

tokening