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  2. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    The bag-of-words model (BoW) is a model of text which uses a representation of text that is based on an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly ...

  3. Lexicographic order - Wikipedia

    en.wikipedia.org/wiki/Lexicographic_order

    The lexicographical order is one way of formalizing word order given the order of the underlying symbols. The formal notion starts with a finite set A, often called the alphabet, which is totally ordered. That is, for any two symbols a and b in A that are not the same symbol, either a < b or b < a. The words of A are the finite sequences of ...

  4. Tag cloud - Wikipedia

    en.wikipedia.org/wiki/Tag_cloud

    Tag cloud of a mailing list [1] A tag cloud with terms related to Web 2.0. A tag cloud (also known as a word cloud or weighted list in visual design) is a visual representation of text data which is often used to depict keyword metadata on websites, or to visualize free form text. Tags are usually single words, and the importance of each tag is ...

  5. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...

  6. n-gram - Wikipedia

    en.wikipedia.org/wiki/N-gram

    n. -gram. An n-gram is a sequence of n adjacent symbols in particular order. The symbols may be n adjacent letters (including punctuation marks and blanks), syllables, or rarely whole words found in a language dataset; or adjacent phonemes extracted from a speech-recording dataset, or adjacent base pairs extracted from a genome.

  7. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is the process of structuring words that can be interpreted and understood by a text-to-image model. Think of it as the language you need to speak in order to tell an AI model what to draw. ^ Ziegler, Albert; Berryman, John (17 July 2023). "A developer's guide to prompt engineering and LLMs".

  8. Help:Table - Wikipedia

    en.wikipedia.org/wiki/Help:Table

    Monobook toolbar. To automatically insert a table, click or (Insert a table) on the edit toolbar. In the Vector toolbar the table icon is in the "Advanced" menu. If "Insert a table" is not on the toolbar follow these directions to add it. The following text is inserted when Insert a table is clicked:

  9. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    hide. Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. Artificial intelligence algorithms are commonly developed and employed to achieve this, specialized for different types of data.