{"id":479702,"date":"2023-08-09T10:43:36","date_gmt":"2023-08-09T10:43:36","guid":{"rendered":""},"modified":"2023-09-05T11:19:24","modified_gmt":"2023-09-05T11:19:24","slug":"word-embeddings-word2vec-glove-fasttext","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/in\/wiki\/word-embeddings-word2vec-glove-fasttext\/","title":{"rendered":"\u0936\u092c\u094d\u0926 \u090f\u092e\u094d\u092c\u0947\u0921\u093f\u0902\u0917 (Word2Vec, GloVe, FastText)"},"content":{"rendered":"<p>\u0936\u092c\u094d\u0926 \u090f\u092e\u094d\u092c\u0947\u0921\u093f\u0902\u0917 \u0928\u093f\u0930\u0902\u0924\u0930 \u0935\u0947\u0915\u094d\u091f\u0930 \u0938\u094d\u0925\u093e\u0928\u094b\u0902 \u092e\u0947\u0902 \u0936\u092c\u094d\u0926\u094b\u0902 \u0915\u093e \u0917\u0923\u093f\u0924\u0940\u092f \u092a\u094d\u0930\u0924\u093f\u0928\u093f\u0927\u093f\u0924\u094d\u0935 \u0939\u0948\u0964 \u0935\u0947 \u092a\u094d\u0930\u093e\u0915\u0943\u0924\u093f\u0915 \u092d\u093e\u0937\u093e \u092a\u094d\u0930\u0938\u0902\u0938\u094d\u0915\u0930\u0923 (\u090f\u0928\u090f\u0932\u092a\u0940) \u092e\u0947\u0902 \u092a\u094d\u0930\u092e\u0941\u0916 \u0909\u092a\u0915\u0930\u0923 \u0939\u0948\u0902, \u091c\u094b \u090f\u0932\u094d\u0917\u094b\u0930\u093f\u0926\u092e \u0915\u094b \u0936\u092c\u094d\u0926\u094b\u0902 \u0915\u094b \u0938\u0902\u0916\u094d\u092f\u093e\u0924\u094d\u092e\u0915 \u0935\u0948\u0915\u094d\u091f\u0930 \u092e\u0947\u0902 \u0905\u0928\u0941\u0935\u093e\u0926 \u0915\u0930\u0915\u0947 \u092a\u093e\u0920 \u0921\u0947\u091f\u093e \u0915\u0947 \u0938\u093e\u0925 \u0915\u093e\u092e \u0915\u0930\u0928\u0947 \u0915\u0940 \u0905\u0928\u0941\u092e\u0924\u093f \u0926\u0947\u0924\u0947 \u0939\u0948\u0902\u0964 \u0936\u092c\u094d\u0926 \u090f\u092e\u094d\u092c\u0947\u0921\u093f\u0902\u0917 \u0915\u0947 \u0932\u094b\u0915\u092a\u094d\u0930\u093f\u092f \u0924\u0930\u0940\u0915\u094b\u0902 \u092e\u0947\u0902 Word2Vec, GloVe \u0914\u0930 FastText \u0936\u093e\u092e\u093f\u0932 \u0939\u0948\u0902\u0964<\/p>\n<h2>\u0935\u0930\u094d\u0921 \u090f\u0902\u092c\u0947\u0921\u093f\u0902\u0917 \u0915\u0940 \u0909\u0924\u094d\u092a\u0924\u094d\u0924\u093f \u0915\u093e \u0907\u0924\u093f\u0939\u093e\u0938 (Word2Vec, GloVe, FastText)<\/h2>\n<p>\u0905\u0935\u094d\u092f\u0915\u094d\u0924 \u0905\u0930\u094d\u0925 \u0935\u093f\u0936\u094d\u0932\u0947\u0937\u0923 \u091c\u0948\u0938\u0940 \u0924\u0915\u0928\u0940\u0915\u094b\u0902 \u0938\u0947 \u0936\u092c\u094d\u0926 \u090f\u092e\u094d\u092c\u0947\u0921\u093f\u0902\u0917 \u0915\u0940 \u091c\u0921\u093c\u0947\u0902 1980 \u0915\u0947 \u0926\u0936\u0915 \u0915\u0947 \u0909\u0924\u094d\u0924\u0930\u093e\u0930\u094d\u0927 \u092e\u0947\u0902 \u0916\u094b\u091c\u0940 \u091c\u093e \u0938\u0915\u0924\u0940 \u0939\u0948\u0902\u0964 \u0939\u093e\u0932\u093e\u0901\u0915\u093f, \u0905\u0938\u0932\u0940 \u0938\u092b\u0932\u0924\u093e 2010 \u0915\u0940 \u0936\u0941\u0930\u0941\u0906\u0924 \u092e\u0947\u0902 \u092e\u093f\u0932\u0940\u0964<\/p>\n<ul>\n<li><strong>Word2Vec<\/strong>: 2013 \u092e\u0947\u0902 Google \u092e\u0947\u0902 \u091f\u0949\u092e\u0938 \u092e\u093f\u0915\u094b\u0932\u094b\u0935 \u0915\u0947 \u0928\u0947\u0924\u0943\u0924\u094d\u0935 \u0935\u093e\u0932\u0940 \u090f\u0915 \u091f\u0940\u092e \u0926\u094d\u0935\u093e\u0930\u093e \u0928\u093f\u0930\u094d\u092e\u093f\u0924, Word2Vec \u0928\u0947 \u0936\u092c\u094d\u0926 \u090f\u092e\u094d\u092c\u0947\u0921\u093f\u0902\u0917 \u0915\u0947 \u0915\u094d\u0937\u0947\u0924\u094d\u0930 \u092e\u0947\u0902 \u0915\u094d\u0930\u093e\u0902\u0924\u093f \u0932\u093e \u0926\u0940\u0964<\/li>\n<li><strong>\u0926\u0938\u094d\u0924\u093e\u0928\u093e<\/strong>: \u0938\u094d\u091f\u0948\u0928\u092b\u094b\u0930\u094d\u0921 \u0915\u0947 \u091c\u0947\u092b\u0930\u0940 \u092a\u0947\u0928\u093f\u0902\u0917\u091f\u0928, \u0930\u093f\u091a\u0930\u094d\u0921 \u0938\u094b\u091a\u0930 \u0914\u0930 \u0915\u094d\u0930\u093f\u0938\u094d\u091f\u094b\u092b\u0930 \u092e\u0948\u0928\u093f\u0902\u0917 \u0928\u0947 2014 \u092e\u0947\u0902 \u0917\u094d\u0932\u094b\u092c\u0932 \u0935\u0947\u0915\u094d\u091f\u0930\u094d\u0938 \u092b\u0949\u0930 \u0935\u0930\u094d\u0921 \u0930\u093f\u092a\u094d\u0930\u0947\u091c\u0947\u0902\u091f\u0947\u0936\u0928 (\u0917\u094d\u0932\u094b\u0935\u0940) \u092a\u0947\u0936 \u0915\u093f\u092f\u093e\u0964<\/li>\n<li><strong>\u092b\u093e\u0938\u094d\u091f\u091f\u0947\u0915\u094d\u0938\u094d\u091f<\/strong>: 2016 \u092e\u0947\u0902 \u092b\u0947\u0938\u092c\u0941\u0915 \u0915\u0940 \u090f\u0906\u0908 \u0930\u093f\u0938\u0930\u094d\u091a \u0932\u0948\u092c \u0926\u094d\u0935\u093e\u0930\u093e \u0935\u093f\u0915\u0938\u093f\u0924, \u092b\u093e\u0938\u094d\u091f\u091f\u0947\u0915\u094d\u0938\u094d\u091f \u0928\u0947 Word2Vec \u0915\u0947 \u0926\u0943\u0937\u094d\u091f\u093f\u0915\u094b\u0923 \u092a\u0930 \u0928\u093f\u0930\u094d\u092e\u093e\u0923 \u0915\u093f\u092f\u093e, \u0932\u0947\u0915\u093f\u0928 \u0935\u093f\u0936\u0947\u0937 \u0930\u0942\u092a \u0938\u0947 \u0926\u0941\u0930\u094d\u0932\u092d \u0936\u092c\u094d\u0926\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u0938\u0902\u0935\u0930\u094d\u0926\u094d\u0927\u0928 \u091c\u094b\u0921\u093c\u093e\u0964<\/li>\n<\/ul>\n<h2>\u0935\u0930\u094d\u0921 \u090f\u0902\u092c\u0947\u0921\u093f\u0902\u0917\u094d\u0938 \u0915\u0947 \u092c\u093e\u0930\u0947 \u092e\u0947\u0902 \u0935\u093f\u0938\u094d\u0924\u0943\u0924 \u091c\u093e\u0928\u0915\u093e\u0930\u0940 (Word2Vec, GloVe, FastText)<\/h2>\n<p>\u0936\u092c\u094d\u0926 \u090f\u092e\u094d\u092c\u0947\u0921\u093f\u0902\u0917 \u0917\u0939\u0928 \u0936\u093f\u0915\u094d\u0937\u0923 \u0924\u0915\u0928\u0940\u0915\u094b\u0902 \u0915\u093e \u0939\u093f\u0938\u094d\u0938\u093e \u0939\u0948 \u091c\u094b \u0936\u092c\u094d\u0926\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u0938\u0918\u0928 \u0935\u0947\u0915\u094d\u091f\u0930 \u092a\u094d\u0930\u0924\u093f\u0928\u093f\u0927\u093f\u0924\u094d\u0935 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u0940 \u0939\u0948\u0964 \u0935\u0947 \u0936\u092c\u094d\u0926\u094b\u0902 \u0915\u0947 \u092c\u0940\u091a \u0905\u0930\u094d\u0925 \u0914\u0930 \u0938\u0902\u092c\u0902\u0927 \u0915\u094b \u0938\u0902\u0930\u0915\u094d\u0937\u093f\u0924 \u0915\u0930\u0924\u0947 \u0939\u0948\u0902, \u091c\u093f\u0938\u0938\u0947 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u090f\u0928\u090f\u0932\u092a\u0940 \u0915\u093e\u0930\u094d\u092f\u094b\u0902 \u092e\u0947\u0902 \u0938\u0939\u093e\u092f\u0924\u093e \u092e\u093f\u0932\u0924\u0940 \u0939\u0948\u0964<\/p>\n<ul>\n<li><strong>Word2Vec<\/strong>: \u0926\u094b \u0906\u0930\u094d\u0915\u093f\u091f\u0947\u0915\u094d\u091a\u0930, \u0915\u0902\u091f\u0940\u0928\u094d\u092f\u0942\u0905\u0938 \u092c\u0948\u0917 \u0911\u092b \u0935\u0930\u094d\u0921\u094d\u0938 (\u0938\u0940\u092c\u0940\u0913\u0921\u092c\u094d\u0932\u094d\u092f\u0942) \u0914\u0930 \u0938\u094d\u0915\u093f\u092a-\u0917\u094d\u0930\u093e\u092e \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0924\u093e \u0939\u0948\u0964 \u092f\u0939 \u0915\u093f\u0938\u0940 \u0936\u092c\u094d\u0926 \u0915\u0947 \u0938\u0902\u0926\u0930\u094d\u092d \u0915\u094b \u0926\u0947\u0916\u0924\u0947 \u0939\u0941\u090f \u0909\u0938\u0915\u0940 \u0938\u0902\u092d\u093e\u0935\u0928\u093e \u0915\u0940 \u092d\u0935\u093f\u0937\u094d\u092f\u0935\u093e\u0923\u0940 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u0926\u0938\u094d\u0924\u093e\u0928\u093e<\/strong>: \u0935\u0948\u0936\u094d\u0935\u093f\u0915 \u0936\u092c\u094d\u0926-\u0936\u092c\u094d\u0926 \u0938\u0939-\u0918\u091f\u0928\u093e \u0906\u0902\u0915\u0921\u093c\u094b\u0902 \u0915\u093e \u0932\u093e\u092d \u0909\u0920\u093e\u0915\u0930 \u0914\u0930 \u0909\u0928\u094d\u0939\u0947\u0902 \u0938\u094d\u0925\u093e\u0928\u0940\u092f \u0938\u0902\u0926\u0930\u094d\u092d \u091c\u093e\u0928\u0915\u093e\u0930\u0940 \u0915\u0947 \u0938\u093e\u0925 \u091c\u094b\u0921\u093c\u0915\u0930 \u0915\u093e\u092e \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u092b\u093e\u0938\u094d\u091f\u091f\u0947\u0915\u094d\u0938\u094d\u091f<\/strong>: \u0938\u092c\u0935\u0930\u094d\u0921 \u091c\u093e\u0928\u0915\u093e\u0930\u0940 \u092a\u0930 \u0935\u093f\u091a\u093e\u0930 \u0915\u0930\u0915\u0947 \u0914\u0930 \u0935\u093f\u0936\u0947\u0937 \u0930\u0942\u092a \u0938\u0947 \u0930\u0942\u092a\u093e\u0924\u094d\u092e\u0915 \u0930\u0942\u092a \u0938\u0947 \u0938\u092e\u0943\u0926\u094d\u0927 \u092d\u093e\u0937\u093e\u0913\u0902 \u0915\u0947 \u0932\u093f\u090f \u0905\u0927\u093f\u0915 \u0938\u0942\u0915\u094d\u0937\u094d\u092e \u092a\u094d\u0930\u0924\u093f\u0928\u093f\u0927\u093f\u0924\u094d\u0935 \u0915\u0940 \u0905\u0928\u0941\u092e\u0924\u093f \u0926\u0947\u0915\u0930 Word2Vec \u0915\u093e \u0935\u093f\u0938\u094d\u0924\u093e\u0930 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<\/ul>\n<h2>\u0935\u0930\u094d\u0921 \u090f\u0902\u092c\u0947\u0921\u093f\u0902\u0917 \u0915\u0940 \u0906\u0902\u0924\u0930\u093f\u0915 \u0938\u0902\u0930\u091a\u0928\u093e (Word2Vec, GloVe, FastText)<\/h2>\n<p>\u0936\u092c\u094d\u0926 \u090f\u092e\u094d\u092c\u0947\u0921\u093f\u0902\u0917 \u0936\u092c\u094d\u0926\u094b\u0902 \u0915\u094b \u092c\u0939\u0941\u0906\u092f\u093e\u092e\u0940 \u0928\u093f\u0930\u0902\u0924\u0930 \u0935\u0948\u0915\u094d\u091f\u0930 \u092e\u0947\u0902 \u0905\u0928\u0941\u0935\u093e\u0926\u093f\u0924 \u0915\u0930\u0924\u0940 \u0939\u0948\u0964<\/p>\n<ul>\n<li><strong>Word2Vec<\/strong>: \u0907\u0938\u092e\u0947\u0902 \u0926\u094b \u092e\u0949\u0921\u0932 \u0936\u093e\u092e\u093f\u0932 \u0939\u0948\u0902 - \u0938\u0940\u092c\u0940\u0913\u0921\u092c\u094d\u0932\u094d\u092f\u0942, \u0915\u093f\u0938\u0940 \u0936\u092c\u094d\u0926 \u0915\u0947 \u0938\u0902\u0926\u0930\u094d\u092d \u0915\u0947 \u0906\u0927\u093e\u0930 \u092a\u0930 \u0909\u0938\u0915\u0940 \u092d\u0935\u093f\u0937\u094d\u092f\u0935\u093e\u0923\u0940 \u0915\u0930\u0924\u093e \u0939\u0948, \u0914\u0930 \u0938\u094d\u0915\u093f\u092a-\u0917\u094d\u0930\u093e\u092e, \u091c\u094b \u0907\u0938\u0915\u0947 \u0935\u093f\u092a\u0930\u0940\u0924 \u0915\u093e\u0930\u094d\u092f \u0915\u0930\u0924\u093e \u0939\u0948\u0964 \u0926\u094b\u0928\u094b\u0902 \u092e\u0947\u0902 \u091b\u093f\u092a\u0940 \u0939\u0941\u0908 \u092a\u0930\u0924\u0947\u0902 \u0936\u093e\u092e\u093f\u0932 \u0939\u0948\u0902\u0964<\/li>\n<li><strong>\u0926\u0938\u094d\u0924\u093e\u0928\u093e<\/strong>: \u090f\u0915 \u0938\u0939-\u0918\u091f\u0928\u093e \u092e\u0948\u091f\u094d\u0930\u093f\u0915\u094d\u0938 \u092c\u0928\u093e\u0924\u093e \u0939\u0948 \u0914\u0930 \u0936\u092c\u094d\u0926 \u0935\u0948\u0915\u094d\u091f\u0930 \u092a\u094d\u0930\u093e\u092a\u094d\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0907\u0938\u0915\u093e \u0917\u0941\u0923\u0928\u0916\u0902\u0921 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u092b\u093e\u0938\u094d\u091f\u091f\u0947\u0915\u094d\u0938\u094d\u091f<\/strong>: \u0935\u0930\u094d\u0923 \u090f\u0928-\u0917\u094d\u0930\u093e\u092e \u0915\u0940 \u0905\u0935\u0927\u093e\u0930\u0923\u093e \u0915\u094b \u091c\u094b\u0921\u093c\u0924\u093e \u0939\u0948, \u0907\u0938 \u092a\u094d\u0930\u0915\u093e\u0930 \u0909\u092a\u0936\u092c\u094d\u0926 \u0938\u0902\u0930\u091a\u0928\u093e\u0913\u0902 \u0915\u0947 \u092a\u094d\u0930\u0924\u093f\u0928\u093f\u0927\u093f\u0924\u094d\u0935 \u0915\u094b \u0938\u0915\u094d\u0937\u092e \u092c\u0928\u093e\u0924\u093e \u0939\u0948\u0964<\/li>\n<\/ul>\n<h2>\u0935\u0930\u094d\u0921 \u090f\u0902\u092c\u0947\u0921\u093f\u0902\u0917 \u0915\u0940 \u092e\u0941\u0916\u094d\u092f \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u0913\u0902 \u0915\u093e \u0935\u093f\u0936\u094d\u0932\u0947\u0937\u0923 (Word2Vec, GloVe, FastText)<\/h2>\n<ul>\n<li><strong>\u0905\u0928\u0941\u092e\u093e\u092a\u0915\u0924\u093e<\/strong>: \u0938\u092d\u0940 \u0924\u0940\u0928 \u0935\u093f\u0927\u093f\u092f\u093e\u0901 \u092c\u0921\u093c\u0947 \u0928\u093f\u0917\u092e \u0915\u0947 \u0932\u093f\u090f \u0909\u092a\u092f\u0941\u0915\u094d\u0924 \u0939\u0948\u0902\u0964<\/li>\n<li><strong>\u0936\u092c\u094d\u0926\u093e\u0930\u094d\u0925 \u0938\u0902\u092c\u0902\u0927<\/strong>: \u0935\u0947 \u0930\u093f\u0936\u094d\u0924\u094b\u0902 \u0915\u094b \u0910\u0938\u0947 \u092a\u0915\u0921\u093c\u0928\u0947 \u092e\u0947\u0902 \u0938\u0915\u094d\u0937\u092e \u0939\u0948\u0902 \u091c\u0948\u0938\u0947 &quot;\u092a\u0941\u0930\u0941\u0937 \u0930\u093e\u091c\u093e \u0939\u0948 \u0914\u0930 \u092e\u0939\u093f\u0932\u093e \u0930\u093e\u0928\u0940 \u0939\u0948\u0964&quot;<\/li>\n<li><strong>\u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0906\u0935\u0936\u094d\u092f\u0915\u0924\u093e\u090f\u0902<\/strong>: \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0915\u092e\u094d\u092a\u094d\u092f\u0942\u091f\u0947\u0936\u0928\u0932 \u0930\u0942\u092a \u0938\u0947 \u0917\u0939\u0928 \u0939\u094b \u0938\u0915\u0924\u093e \u0939\u0948 \u0932\u0947\u0915\u093f\u0928 \u0921\u094b\u092e\u0947\u0928-\u0935\u093f\u0936\u093f\u0937\u094d\u091f \u092c\u093e\u0930\u0940\u0915\u093f\u092f\u094b\u0902 \u0915\u094b \u092a\u0915\u0921\u093c\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0906\u0935\u0936\u094d\u092f\u0915 \u0939\u0948\u0964<\/li>\n<\/ul>\n<h2>\u0935\u0930\u094d\u0921 \u090f\u0902\u092c\u0947\u0921\u093f\u0902\u0917 \u0915\u0947 \u092a\u094d\u0930\u0915\u093e\u0930 (Word2Vec, GloVe, FastText)<\/h2>\n<p>\u0907\u0938\u0915\u0947 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u092a\u094d\u0930\u0915\u093e\u0930 \u0939\u0948\u0902, \u091c\u093f\u0928\u092e\u0947\u0902 \u0936\u093e\u092e\u093f\u0932 \u0939\u0948\u0902:<\/p>\n<table>\n<thead>\n<tr>\n<th><strong>\u092a\u094d\u0930\u0915\u093e\u0930<\/strong><\/th>\n<th><strong>\u0928\u092e\u0942\u0928\u093e<\/strong><\/th>\n<th><strong>\u0935\u093f\u0935\u0930\u0923<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0938\u094d\u0925\u093f\u0930<\/td>\n<td>Word2Vec<\/td>\n<td>\u092c\u0921\u093c\u0947 \u0915\u0949\u0930\u094d\u092a\u094b\u0930\u093e \u092a\u0930 \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u093f\u0924<\/td>\n<\/tr>\n<tr>\n<td>\u0938\u094d\u0925\u093f\u0930<\/td>\n<td>\u0926\u0938\u094d\u0924\u093e\u0928\u093e<\/td>\n<td>\u0936\u092c\u094d\u0926 \u0938\u0939-\u0918\u091f\u0928\u093e \u092a\u0930 \u0906\u0927\u093e\u0930\u093f\u0924<\/td>\n<\/tr>\n<tr>\n<td>\u0938\u092e\u0943\u0926\u094d\u0927<\/td>\n<td>\u092b\u093e\u0938\u094d\u091f\u091f\u0947\u0915\u094d\u0938\u094d\u091f<\/td>\n<td>\u0909\u092a\u0936\u092c\u094d\u0926 \u091c\u093e\u0928\u0915\u093e\u0930\u0940 \u0936\u093e\u092e\u093f\u0932 \u0939\u0948<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0935\u0930\u094d\u0921 \u090f\u0902\u092c\u0947\u0921\u093f\u0902\u0917\u094d\u0938, \u0938\u092e\u0938\u094d\u092f\u093e\u0913\u0902 \u0914\u0930 \u0938\u092e\u093e\u0927\u093e\u0928\u094b\u0902 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0924\u0930\u0940\u0915\u0947<\/h2>\n<ul>\n<li><strong>\u092a\u094d\u0930\u092f\u094b\u0917<\/strong>: \u092a\u093e\u0920 \u0935\u0930\u094d\u0917\u0940\u0915\u0930\u0923, \u092d\u093e\u0935\u0928\u093e \u0935\u093f\u0936\u094d\u0932\u0947\u0937\u0923, \u0905\u0928\u0941\u0935\u093e\u0926, \u0906\u0926\u093f\u0964<\/li>\n<li><strong>\u0938\u092e\u0938\u094d\u092f\u093e<\/strong>: \u0936\u092c\u094d\u0926\u093e\u0935\u0932\u0940 \u0938\u0947 \u092c\u093e\u0939\u0930 \u0915\u0947 \u0936\u092c\u094d\u0926\u094b\u0902 \u0915\u094b \u0938\u0902\u092d\u093e\u0932\u0928\u0947 \u091c\u0948\u0938\u0947 \u092e\u0941\u0926\u094d\u0926\u0947\u0964<\/li>\n<li><strong>\u0938\u092e\u093e\u0927\u093e\u0928<\/strong>: \u092b\u093e\u0938\u094d\u091f\u091f\u0947\u0915\u094d\u0938\u094d\u091f \u0915\u0940 \u0938\u092c\u0935\u0930\u094d\u0921 \u091c\u093e\u0928\u0915\u093e\u0930\u0940, \u091f\u094d\u0930\u093e\u0902\u0938\u092b\u0930 \u0932\u0930\u094d\u0928\u093f\u0902\u0917, \u0906\u0926\u093f\u0964<\/li>\n<\/ul>\n<h2>\u092e\u0941\u0916\u094d\u092f \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u090f\u0901 \u0914\u0930 \u0924\u0941\u0932\u0928\u093e\u090f\u0901<\/h2>\n<p>\u092a\u094d\u0930\u092e\u0941\u0916 \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u0913\u0902 \u092e\u0947\u0902 \u0924\u0941\u0932\u0928\u093e:<\/p>\n<table>\n<thead>\n<tr>\n<th><strong>\u0935\u093f\u0936\u0947\u0937\u0924\u093e<\/strong><\/th>\n<th><strong>Word2Vec<\/strong><\/th>\n<th><strong>\u0926\u0938\u094d\u0924\u093e\u0928\u093e<\/strong><\/th>\n<th><strong>\u092b\u093e\u0938\u094d\u091f\u091f\u0947\u0915\u094d\u0938\u094d\u091f<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0909\u092a\u0936\u092c\u094d\u0926 \u091c\u093e\u0928\u0915\u093e\u0930\u0940<\/td>\n<td>\u0928\u0939\u0940\u0902<\/td>\n<td>\u0928\u0939\u0940\u0902<\/td>\n<td>\u0939\u093e\u0901<\/td>\n<\/tr>\n<tr>\n<td>\u0905\u0928\u0941\u092e\u093e\u092a\u0915\u0924\u093e<\/td>\n<td>\u0909\u091a\u094d\u091a<\/td>\n<td>\u092e\u0927\u094d\u092f\u092e<\/td>\n<td>\u0909\u091a\u094d\u091a<\/td>\n<\/tr>\n<tr>\n<td>\u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u091c\u091f\u093f\u0932\u0924\u093e<\/td>\n<td>\u092e\u0927\u094d\u092f\u092e<\/td>\n<td>\u0909\u091a\u094d\u091a<\/td>\n<td>\u092e\u0927\u094d\u092f\u092e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u092d\u0935\u093f\u0937\u094d\u092f \u0915\u0947 \u092a\u0930\u093f\u092a\u094d\u0930\u0947\u0915\u094d\u0937\u094d\u092f \u0914\u0930 \u092a\u094d\u0930\u094c\u0926\u094d\u092f\u094b\u0917\u093f\u0915\u093f\u092f\u093e\u0901<\/h2>\n<p>\u092d\u0935\u093f\u0937\u094d\u092f \u0915\u0947 \u0935\u093f\u0915\u093e\u0938 \u092e\u0947\u0902 \u0936\u093e\u092e\u093f\u0932 \u0939\u094b \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/p>\n<ul>\n<li>\u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u092e\u0947\u0902 \u0926\u0915\u094d\u0937\u0924\u093e \u092e\u0947\u0902 \u0938\u0941\u0927\u093e\u0930.<\/li>\n<li>\u092c\u0939\u0941\u092d\u093e\u0937\u0940 \u0938\u0902\u0926\u0930\u094d\u092d\u094b\u0902 \u0915\u093e \u092c\u0947\u0939\u0924\u0930 \u092a\u094d\u0930\u092c\u0902\u0927\u0928\u0964<\/li>\n<li>\u091f\u094d\u0930\u093e\u0902\u0938\u092b\u093e\u0930\u094d\u092e\u0930 \u091c\u0948\u0938\u0947 \u0909\u0928\u094d\u0928\u0924 \u092e\u0949\u0921\u0932 \u0915\u0947 \u0938\u093e\u0925 \u090f\u0915\u0940\u0915\u0930\u0923\u0964<\/li>\n<\/ul>\n<h2>\u0935\u0930\u094d\u0921 \u090f\u0902\u092c\u0947\u0921\u093f\u0902\u0917 (Word2Vec, GloVe, FastText) \u0915\u0947 \u0938\u093e\u0925 \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948<\/h2>\n<p>OneProxy \u0926\u094d\u0935\u093e\u0930\u093e \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u093f\u090f \u0917\u090f \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0924\u0930\u0940\u0915\u094b\u0902 \u0938\u0947 \u0936\u092c\u094d\u0926 \u090f\u092e\u094d\u092c\u0947\u0921\u093f\u0902\u0917 \u0915\u093e\u0930\u094d\u092f\u094b\u0902 \u0915\u094b \u0938\u0941\u0935\u093f\u0927\u093e\u091c\u0928\u0915 \u092c\u0928\u093e \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/p>\n<ul>\n<li>\u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0915\u0947 \u0926\u094c\u0930\u093e\u0928 \u0921\u0947\u091f\u093e \u0938\u0941\u0930\u0915\u094d\u0937\u093e \u092c\u0922\u093c\u093e\u0928\u093e\u0964<\/li>\n<li>\u092d\u094c\u0917\u094b\u0932\u093f\u0915 \u0930\u0942\u092a \u0938\u0947 \u092a\u094d\u0930\u0924\u093f\u092c\u0902\u0927\u093f\u0924 \u0928\u093f\u0917\u092e \u0924\u0915 \u092a\u0939\u0941\u0902\u091a \u0915\u094b \u0938\u0915\u094d\u0937\u092e \u0915\u0930\u0928\u093e\u0964<\/li>\n<li>\u0921\u0947\u091f\u093e \u0938\u0902\u0917\u094d\u0930\u0939 \u0915\u0947 \u0932\u093f\u090f \u0935\u0947\u092c \u0938\u094d\u0915\u094d\u0930\u0948\u092a\u093f\u0902\u0917 \u092e\u0947\u0902 \u0938\u0939\u093e\u092f\u0924\u093e \u0915\u0930\u0928\u093e\u0964<\/li>\n<\/ul>\n<h2>\u0938\u092e\u094d\u092c\u0902\u0927\u093f\u0924 \u0932\u093f\u0902\u0915\u094d\u0938<\/h2>\n<ul>\n<li><a href=\"https:\/\/papers.nips.cc\/paper\/2013\/hash\/9aa42b31882ec039965f3c4923ce901b-Abstract.html\" target=\"_new\" rel=\"noopener nofollow\">Word2Vec \u092a\u0947\u092a\u0930<\/a><\/li>\n<li><a href=\"https:\/\/nlp.stanford.edu\/projects\/glove\/\" target=\"_new\" rel=\"noopener nofollow\">\u0917\u094d\u0932\u094b\u0935 \u092a\u094d\u0930\u094b\u091c\u0947\u0915\u094d\u091f<\/a><\/li>\n<li><a href=\"https:\/\/fasttext.cc\/\" target=\"_new\" rel=\"noopener nofollow\">\u092b\u093e\u0938\u094d\u091f\u091f\u0947\u0915\u094d\u0938\u094d\u091f \u0932\u093e\u0907\u092c\u094d\u0930\u0947\u0930\u0940<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/in\/\" target=\"_new\" rel=\"noopener\">OneProxy \u0938\u0947\u0935\u093e\u090f\u0901<\/a><\/li>\n<\/ul>\n<p>\u092f\u0939 \u0906\u0932\u0947\u0916 \u0936\u092c\u094d\u0926 \u090f\u092e\u094d\u092c\u0947\u0921\u093f\u0902\u0917 \u0915\u0947 \u0906\u0935\u0936\u094d\u092f\u0915 \u092a\u0939\u0932\u0941\u0913\u0902 \u0915\u094b \u0938\u092e\u093e\u0939\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948, \u092e\u0949\u0921\u0932 \u0914\u0930 \u0909\u0928\u0915\u0947 \u0905\u0928\u0941\u092a\u094d\u0930\u092f\u094b\u0917\u094b\u0902 \u0915\u093e \u090f\u0915 \u0935\u094d\u092f\u093e\u092a\u0915 \u0926\u0943\u0936\u094d\u092f \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948, \u091c\u093f\u0938\u092e\u0947\u0902 \u0935\u0928\u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u091c\u0948\u0938\u0940 \u0938\u0947\u0935\u093e\u0913\u0902 \u0915\u0947 \u092e\u093e\u0927\u094d\u092f\u092e \u0938\u0947 \u0909\u0928\u0915\u093e \u0932\u093e\u092d \u0915\u0948\u0938\u0947 \u0909\u0920\u093e\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964<\/p>","protected":false},"featured_media":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479702","wiki","type-wiki","status-publish","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Word Embeddings: Understanding Word2Vec, GloVe, FastText<\/mark>","faq_items":[{"question":"What are Word Embeddings, and which models are commonly used?","answer":"<p>Word embeddings are mathematical representations of words in continuous vector spaces. They translate words into numerical vectors, preserving their semantic meaning and relationships. The commonly used models for word embeddings include Word2Vec, GloVe, and FastText.<\/p>"},{"question":"How did the concept of Word Embeddings originate?","answer":"<p>The roots of word embeddings date back to the late 1980s, but the significant advancements occurred in the early 2010s with the introduction of Word2Vec by Google in 2013, GloVe by Stanford in 2014, and FastText by Facebook in 2016.<\/p>"},{"question":"What is the internal structure of Word Embeddings like Word2Vec, GloVe, FastText?","answer":"<p>The internal structures of these embeddings vary:<\/p><ul><li>Word2Vec uses two architectures called Continuous Bag of Words (CBOW) and Skip-Gram.<\/li><li>GloVe builds a co-occurrence matrix and factorizes it.<\/li><li>FastText considers subword information using character n-grams.<\/li><\/ul>"},{"question":"What are the key features of Word Embeddings?","answer":"<p>Key features include scalability, the ability to capture semantic relationships between words, and computational training requirements. They are also able to express complex relationships and analogies between words.<\/p>"},{"question":"What types of Word Embeddings exist?","answer":"<p>There are mainly static types represented by models like Word2Vec and GloVe, and enriched types like FastText that include additional information such as subword data.<\/p>"},{"question":"How can Word Embeddings be used, and what are some common problems?","answer":"<p>Word embeddings can be used in text classification, sentiment analysis, translation, and other NLP tasks. Common problems include handling out-of-vocabulary words, which can be mitigated by approaches like FastText's subword information.<\/p>"},{"question":"What are the future prospects for Word Embeddings technology?","answer":"<p>Future prospects include improved efficiency in training, better handling of multilingual contexts, and integration with more advanced models like transformers.<\/p>"},{"question":"How can proxy servers be associated with Word Embeddings?","answer":"<p>Proxy servers like those from OneProxy can enhance data security during training, enable access to geographically restricted data, and assist in web scraping for data collection related to word embeddings.<\/p>"},{"question":"Where can I find more information about Word Embeddings like Word2Vec, GloVe, FastText?","answer":"<p>You can find detailed information and resources at the following links:<\/p><ul><li><a href=\"https:\/\/papers.nips.cc\/paper\/2013\/hash\/9aa42b31882ec039965f3c4923ce901b-Abstract.html\" target=\"_new\">Word2Vec Paper<\/a><\/li><li><a href=\"https:\/\/nlp.stanford.edu\/projects\/glove\/\" target=\"_new\">GloVe Project<\/a><\/li><li><a href=\"https:\/\/fasttext.cc\/\" target=\"_new\">FastText Library<\/a><\/li><li><a href=\"https:\/\/oneproxy.pro\" target=\"_new\">OneProxy Services<\/a><\/li><\/ul>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki\/479702","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki\/479702\/revisions"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media?parent=479702"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}