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  2. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

  3. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    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.

  4. Voyant Tools - Wikipedia

    en.wikipedia.org/wiki/Voyant_Tools

    Voyant "was conceived to enhance reading through lightweight text analytics such as word frequency lists, frequency distribution plots, and KWIC displays." [3] Its interface is composed of panels which perform these varied analytical tasks. These panels can also be embedded in external web texts (e.g. a web article could include a Voyant panel ...

  5. Anagram - Wikipedia

    en.wikipedia.org/wiki/Anagram

    An anagram is a word or phrase formed by rearranging the letters of a different word or phrase, typically using all the original letters exactly once. [1] For example, the word anagram itself can be rearranged into the phrase "nag a ram"; which is an Easter egg suggestion in Google after searching for the word "anagram". [2]

  6. Word n-gram language model - Wikipedia

    en.wikipedia.org/wiki/Word_n-gram_language_model

    It is based on an assumption that the probability of the next word in a sequence depends only on a fixed size window of previous words. If only one previous word is considered, it is called a bigram model; if two words, a trigram model; if n − 1 words, an n-gram model. [2]

  7. Predictive text - Wikipedia

    en.wikipedia.org/wiki/Predictive_text

    Predictive text is an input technology used where one key or button represents many letters, such as on the physical numeric keypads of mobile phones and in accessibility technologies. Each key press results in a prediction rather than repeatedly sequencing through the same group of "letters" it represents, in the same, invariable order.

  8. Mojibake - Wikipedia

    en.wikipedia.org/wiki/Mojibake

    Since two letters are combined, the mojibake also seems more random (over 50 variants compared to the normal three, not counting the rarer capitals). In some rare cases, an entire text string which happens to include a pattern of particular word lengths, such as the sentence "Bush hid the facts", may be misinterpreted.

  9. Keystroke logging - Wikipedia

    en.wikipedia.org/wiki/Keystroke_logging

    A keylogger example of a screen capture, which holds potentially confidential and private information. The image below holds the corresponding keylogger text result. A logfile from a software-based keylogger, based on the screen capture above. A software-based keylogger is a computer program designed to record any input from the keyboard. [15]