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- Word2vec abstract "Word2vec is a group of related models that are used to produce so-called word embeddings. These models are shallow, two-layer neural networks, that are trained to reconstruct linguistic contexts of words: the network is shown a word, and must guess which words occurred in adjacent positions in an input text. The order of the remaining words is not important (bag-of-words assumption).After training, word2vec models can be used to map each word to a vector of typically several hundred elements, which represent that word's relation to other words. This vector is the neural network's hidden layer.Word2vec relies on either skip-grams or continuous bag of words (CBOW) to create neural word embeddings. It was created by a team of researchers led by Tomas Mikolov at Google. The algorithm has been subsequently analysed and explained by other researchers.".
- Word2vec wikiPageExternalLink word2vec.
- Word2vec wikiPageExternalLink word2vec.html.
- Word2vec wikiPageID "47527969".
- Word2vec wikiPageLength "4496".
- Word2vec wikiPageOutDegree "18".
- Word2vec wikiPageRevisionID "707167837".
- Word2vec wikiPageWikiLink Artificial_neural_network.
- Word2vec wikiPageWikiLink Autoencoder.
- Word2vec wikiPageWikiLink Bag-of-words_model.
- Word2vec wikiPageWikiLink Category:Artificial_neural_networks.
- Word2vec wikiPageWikiLink Category:Free_science_software.
- Word2vec wikiPageWikiLink Category:Machine_learning.
- Word2vec wikiPageWikiLink Category:Natural_language_processing_toolkits.
- Word2vec wikiPageWikiLink Cosine_similarity.
- Word2vec wikiPageWikiLink Distributional_semantics.
- Word2vec wikiPageWikiLink Document-term_matrix.
- Word2vec wikiPageWikiLink Feature_extraction.
- Word2vec wikiPageWikiLink Feature_learning.
- Word2vec wikiPageWikiLink Gensim.
- Word2vec wikiPageWikiLink Google.
- Word2vec wikiPageWikiLink N-gram.
- Word2vec wikiPageWikiLink Vector_space_model.
- Word2vec wikiPageWikiLink Word_embedding.
- Word2vec wikiPageWikiLinkText "Word2Vec".
- Word2vec wikiPageWikiLinkText "Word2vec".
- Word2vec wikiPageWikiLinkText "word2vec".
- Word2vec wikiPageUsesTemplate Template:Machine_learning_bar.
- Word2vec wikiPageUsesTemplate Template:Mvar.
- Word2vec wikiPageUsesTemplate Template:Natural_Language_Processing.
- Word2vec wikiPageUsesTemplate Template:Reflist.
- Word2vec wikiPageUsesTemplate Template:Slink.
- Word2vec subject Category:Artificial_neural_networks.
- Word2vec subject Category:Free_science_software.
- Word2vec subject Category:Machine_learning.
- Word2vec subject Category:Natural_language_processing_toolkits.
- Word2vec hypernym Group.
- Word2vec type Band.
- Word2vec comment "Word2vec is a group of related models that are used to produce so-called word embeddings. These models are shallow, two-layer neural networks, that are trained to reconstruct linguistic contexts of words: the network is shown a word, and must guess which words occurred in adjacent positions in an input text.".
- Word2vec label "Word2vec".
- Word2vec sameAs Q22673982.
- Word2vec sameAs Q22673982.
- Word2vec sameAs Word2vec.
- Word2vec wasDerivedFrom Word2vec?oldid=707167837.
- Word2vec isPrimaryTopicOf Word2vec.