Transcription of How exactly does word2vec work? - 1-4-5.net
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How exactly does word2vec work? - 1-4-5.net
How exactly does word2vec work ?David 31, 20161 IntroductionThe word2vec model [4] and its applications have recently attracted a great deal of attentionfrom the machine learning community. Thesedense vector representationsof words learnedby word2vec have remarkably been shown to carry semantic meanings and are useful ina wide range of use cases ranging from natural language processing to network flow the most amazing property of these word embeddings is that somehow these vectorencodings effectively capture the semantic meanings of the words. The question one mightask is how or why? The answer is that because the vectors adhere surprisingly well to ourintuition. For instance, words that we know to be synonyms tend to have similar vectorsin terms of cosine similarity and antonyms tend to have dissimilar vectors. Even moresurprisingly, word vectors tend to obey the laws of analogy.
How exactly does word2vec work? David Meyer dmm@f1-4-5.net,uoregon.edu,brocade.com,...g July 31, 2016 1 Introduction The word2vec model [4] and its applications have recently attracted a great deal of attention
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