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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 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 .

  3. Feature (linguistics) - Wikipedia

    en.wikipedia.org/wiki/Feature_(linguistics)

    A unique combination of features defines a phoneme. Examples of phonemic or distinctive features are: [+/- voice], [+/- ATR] (binary features) and [ CORONAL] (a unary feature; also a place feature). Surface representations can be expressed as the result of rules acting on the features of the underlying representation. These rules are formulated ...

  4. List of forms of word play - Wikipedia

    en.wikipedia.org/wiki/List_of_forms_of_word_play

    Techniques that involve semantics and the choosing of words. Anglish: a writing using exclusively words of Germanic origin; Auto-antonym: a word that contains opposite meanings; Autogram: a sentence that provide an inventory of its own characters; Irony; Malapropism: incorrect usage of a word by substituting a similar-sounding word with ...

  5. Latent semantic analysis - Wikipedia

    en.wikipedia.org/wiki/Latent_semantic_analysis

    Animation of the topic detection process in a document-word matrix. Every column corresponds to a document, every row to a word. A cell stores the weighting of a word in a document (e.g. by tf-idf), dark cells indicate high weights. LSA groups both documents that contain similar words, as well as words that occur in a similar set of documents.

  6. What Does Non-Binary Mean? Understanding This LGBTQ ... - AOL

    www.aol.com/does-non-binary-mean-understanding...

    Non-binary is a word for people who fall “outside the categories of man and woman,” according to the LGBTQ+ advocacy group GLAAD. Because binary means “two,” if someone doesn’t identify ...

  7. Semantic feature - Wikipedia

    en.wikipedia.org/wiki/Semantic_feature

    The semantic features of a word can be notated using a binary feature notation common to the framework of componential analysis. [11] A semantic property is specified in square brackets and a plus or minus sign indicates the existence or non-existence of that property. [12] cat is [+animate], [+domesticated], [+feline] puma is [+animate], [− ...

  8. 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]

  9. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    An extension of word vectors for creating a dense vector representation of unstructured radiology reports has been proposed by Banerjee et al. [23] One of the biggest challenges with Word2vec is how to handle unknown or out-of-vocabulary (OOV) words and morphologically similar words. If the Word2vec model has not encountered a particular word ...