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  2. Bag-of-words model - Wikipedia

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

    It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision. [2]

  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. Bag-of-words model in computer vision - Wikipedia

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

    In computer vision, the bag-of-words model (BoW model) sometimes called bag-of-visual-words model [1] [2] can be applied to image classification or retrieval, by treating image features as words. In document classification , a bag of words is a sparse vector of occurrence counts of words; that is, a sparse histogram over the vocabulary.

  5. How magic works: Magicians share 6 psychological secrets they ...

    www.aol.com/lifestyle/magic-works-magicians...

    How it works in a magic trick: “I might emphasize something like, ‘I want you to take this pen and write your name on the card. Make sure you write in really big letters so everyone can see ...

  6. Glossary of magic (illusion) - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_magic_(illusion)

    Effect – how a magic trick is perceived by a spectator. Egg bag – a utility bag which can be turned inside out to conceal an object (egg) or and then reproduce it. Elmsley count – a false count (often done with four cards) where the face or back of a card is hidden while the cards are passed from one hand to another.

  7. 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]

  8. Just Words: Tips and Tricks - AOL

    www.aol.com/news/2014-07-29-just-words-tips-and...

    Tip- Take advantage of Just Words' word list option.Near the bottom of the screen you'll see a small book near the bag of tiles. Inside you'll find lists of 2-letter words, 3-letter words, and an ...

  9. Out of This World (card trick) - Wikipedia

    en.wikipedia.org/wiki/Out_of_This_World_(card_trick)

    The performer takes a deck of cards, and places on the table two face-up "marker" cards, one black and one red; the black on the left and the red on the right.The performer tells the spectator that he or she is going to deal cards face-down from the deck and the object of the exercise is for the subject to use their intuition to identify whether each card in the deck is black or red.