Explain word2vec implementation in gensim in Python and Cython.
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Stop Using word2vec When I started playing with word2vec four years ago I needed (and luckily had) tons of supercomputer time. But because of advances in our understanding of word2vec, computing word vectors now takes fifteen minutes on a single run-of-the-mill computer with standard numerical libraries1. Word vectors are awesome but you donât need a neural network â and definitely donât need deep
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Word2Vecã¨ã¯ Word2Vecã§æ¼ç®å¦çãã Word2Vecã¨ãã¥ã¼ã©ã«ãããã¯ã¼ã¯ Word2Vecã®ä»çµã¿ CBoW Skip-gram Word2Vecãå¿ç¨ãããã¨ãã§ããåé ã¬ã³ã¡ã³ã æ©æ¢°ç¿»è¨³ Q&Aã»ãã£ããããã ææ åæ Word2Vecã®å¼±ç¹ Word2Vecã®æ´¾çç³»ãé¡ä¼¼ãã¼ã« GloVe WordNet Doc2Vec fastText ã¾ã¨ã åè ä¸çä¸ã®Webãµã¤ãã®æ°ã¯2014å¹´ã«10å件ãè¶ ããããã ãããã¦ãFacebookã®ã¦ã¼ã¶ã¼æ°ã ãã§ã16å人ãè¶ ãã¦ããã ããã¦ããã®ããããã³ã³ãã³ãã®ä¸èº«ã®å¤§é¨åã¯ããã¹ãããæãç«ã£ã¦ãããã¨ã ããã ã¨ãããã¨ã¯ãè«å¤§ã«å¢å¤§ãç¶ãããããä¸ã®ãã¼ã¿ã®ã»ã¨ãã©ã¯ã©ããã®å½ã®è¨èã ã£ã¦ãã¨ã ãä¸çä¸ã®äººãæ¯æ¥ããã¹ããã¼ã¿ãçæãç¶ãããã¨ã¯ããã¾ã§ã®æ´å²ä¸ç¡ãã£ãããããªãã ãããã ãããã
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