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\ubaa8\ub378\uc744\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25181,"url":"https:\/\/atmokpo.com\/w\/25181\/","url_meta":{"origin":25313,"position":4},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \uc815\uaddc \ud45c\ud604\uc2dd","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uae30\uacc4\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ubd84\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\ub294 \ucef4\ud4e8\ud130 \uacfc\ud559\uc758 \ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd(deep learning)\uc740 \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \uba38\uc2e0 \ub7ec\ub2dd\uc758 \ud55c \ud615\ud0dc\ub85c, \ub300\ub7c9\uc758 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \ud328\ud134\uc744 \ud559\uc2b5\ud558\ub294 \ub370 \ub9e4\uc6b0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \uac04 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c\uc758 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc740 \uc8fc\ubaa9\ud560 \ub9cc\ud55c \uc131\uacfc\ub97c \uc774\ub8e8\uc5c8\uace0, \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc774 \uc2e4\uc81c\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":29291,"url":"https:\/\/atmokpo.com\/w\/29291\/","url_meta":{"origin":25313,"position":5},"title":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc804\uc774\ud559\uc2b5 \uc801\uc740 \ub370\uc774\ud130\ub85c \ub354 \ube60\ub978 \ud6c8\ub828","author":"root","date":"2024\ub144 10\uc6d4 27\uc77c","format":false,"excerpt":"2023\ub144, \ucd5c\ucca8\ub2e8 \uae30\uc220\uc744 \ud1b5\ud574 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c\ub294 \uc810\uc810 \ub354 \ub9ce\uc740 \uac70\ub798\uc790\ub4e4\uc774 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc744 \ucc44\ud0dd\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc740 \uae30\uc874\uc758 \uaddc\uce59 \uae30\ubc18 \uc2dc\uc2a4\ud15c\uc5d0 \ube44\ud574 \ub354 \ub192\uc740 \uc131\ub2a5\uacfc \uc720\uc5f0\uc131\uc744 \uc790\ub791\ud569\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5, \uadf8\ub9ac\uace0 \uc804\uc774 \ud559\uc2b5\uc744 \ud1b5\ud574 \uc801\uc740 \ub370\uc774\ud130\ub85c\ub3c4 \ud6a8\uacfc\uc801\uc778 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 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{"id":25313,"date":"2024-10-26T09:53:56","date_gmt":"2024-10-26T09:53:56","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25313"},"modified":"2024-11-26T08:02:11","modified_gmt":"2024-11-26T08:02:11","slug":"%eb%94%a5-%eb%9f%ac%eb%8b%9d%ec%9d%84-%ec%9d%b4%ec%9a%a9%ed%95%9c-%ec%9e%90%ec%97%b0%ec%96%b4-%ec%b2%98%eb%a6%ac-doc2vec%ec%9c%bc%eb%a1%9c-%ea%b3%b5%ec%8b%9c-%ec%82%ac%ec%97%85%eb%b3%b4%ea%b3%a0","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25313\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, Doc2Vec\uc73c\ub85c \uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c \uc720\uc0ac\ub3c4 \uacc4\uc0b0\ud558\uae30"},"content":{"rendered":"

<\/p>\n

\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ucef4\ud4e8\ud130\uc640 \uc778\uac04 \uc5b8\uc5b4 \uac04\uc758 \uc0c1\ud638\uc791\uc6a9\uc744 \ud3ec\ud568\ud55c \ucef4\ud4e8\ud130 \uacfc\ud559\uc758 \ud558\uc704 \ud544\ub4dc\ub85c, \uc778\uacf5\uc9c0\ub2a5\uc758 \uc911\uc694\ud55c \ubd84\uc57c \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc774\uc5d0 \ub530\ub77c \ub525 \ub7ec\ub2dd \uae30\uc220\uc774 \ubc1c\ub2ec\ud558\uba74\uc11c NLP\uc758 \ub2e4\uc591\ud55c \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \ub370 \ud070 \ub3c4\uc6c0\uc744 \uc8fc\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, Doc2Vec\uc740 \ubb38\uc11c\uc758 \uc758\ubbf8\ub97c \ubca1\ud130 \uacf5\uac04\uc5d0 \ub9e4\ud551\ud558\uc5ec \ubb38\uc11c \uac04\uc758 \uc720\uc0ac\ub3c4\ub97c \uacc4\uc0b0\ud558\ub294 \ub370 \ud6a8\uacfc\uc801\uc778 \ubc29\ubc95\ub860 \uc911 \ud558\ub098\ub85c, \ub9ce\uc740 \uc5f0\uad6c\uc5d0\uc11c \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 Doc2Vec\uc744 \uc0ac\uc6a9\ud558\uc5ec \uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c\uc758 \uc720\uc0ac\ub3c4\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub904\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uac00 \ud544\uc694\ud55c \uc774\uc720<\/h2>\n
\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ubc1c\uc804\uc740 \ube44\uc988\ub2c8\uc2a4, \uc758\ub8cc, \uae08\uc735 \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \uc911\uc694\uc131\uc744 \ub354\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c\uc640 \uac19\uc740 \ub300\ub7c9\uc758 \ube44\uc815\ud615 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \uc788\uc5b4 NLP \uae30\uc220\uc774 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \ubb38\uc11c \uac04\uc758 \uc720\uc0ac\ub3c4\ub97c \ud3c9\uac00\ud568\uc73c\ub85c\uc368 \uae30\uc5c5\uc758 \uacbd\uc7c1\ub825\uc744 \ubd84\uc11d\ud558\uace0 \uc758\uc0ac \uacb0\uc815\uc744 \uc9c0\uc6d0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

1.1 \ube44\uc815\ud615 \ub370\uc774\ud130\uc758 \uc99d\uac00<\/h3>\n
\ube44\uc815\ud615 \ub370\uc774\ud130\ub294 \uc815\ud615\ud654\ub41c \ud615\uc2dd\uc774 \uc5c6\ub294 \ub370\uc774\ud130\ub97c \ub9d0\ud569\ub2c8\ub2e4. \uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c, \ub274\uc2a4 \uae30\uc0ac, \uc18c\uc15c \ubbf8\ub514\uc5b4 \uac8c\uc2dc\ubb3c \ub4f1 \ub2e4\uc591\ud55c \ud615\ud0dc\ub85c \uc874\uc7ac\ud558\ub294 \ube44\uc815\ud615 \ub370\uc774\ud130\ub294 \uae30\uc5c5\uc758 \uac00\uce58 \ud3c9\uac00\uc640 \ubd84\uc11d\uc5d0 \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ube44\uc815\ud615 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uae30 \uc704\ud574\uc11c\ub294 \uace0\uae09 NLP \uae30\uc220\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n

1.2 NLP\uc758 \ubc1c\uc804<\/h3>\n
\uc804\ud1b5\uc801\uc778 NLP \ubc29\ubc95\ub4e4\uc740 \ud1b5\uacc4\uc801 \uae30\ubc95\uacfc \uaddc\uce59 \uae30\ubc18\uc758 \uc811\uadfc \ubc29\uc2dd\uc744 \uc8fc\ub85c \uc0ac\uc6a9\ud558\uc600\uc73c\ub098, \ucd5c\uadfc \ub4e4\uc5b4 \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \ubaa8\ub378\uc774 \ub9ce\uc740 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, Word2Vec, GloVe \ub4f1\uacfc \uac19\uc740 \uc784\ubca0\ub529 \uae30\ubc95\uc740 \ub2e8\uc5b4\ub97c \uace0\ucc28\uc6d0 \ubca1\ud130 \uacf5\uac04\uc5d0 \ub9e4\ud551\ud558\uc5ec \uc758\ubbf8\ub97c \ud3ec\ucc29\ud558\uac8c \ud558\uba70, Doc2Vec\uc740 \uc774\ub7ec\ud55c \uae30\uc220\uc744 \ubb38\uc11c \ub808\ubca8\ub85c \ud655\uc7a5\ud569\ub2c8\ub2e4.<\/p>\n

2. Doc2Vec\uc758 \uc774\ud574<\/h2>\n
Doc2Vec\uc740 Google\uc758 \uc5f0\uad6c\uc790\ub4e4\uc774 \uac1c\ubc1c\ud55c \ubaa8\ub378\ub85c, \ubb38\uc11c\ub97c \uace0\ucc28\uc6d0 \ubca1\ud130 \uacf5\uac04\uc5d0 \ub9e4\ud551\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc774 \ubaa8\ub378\uc740 \ub450 \uac00\uc9c0 \uc8fc\uc694 \uc544\uc774\ub514\uc5b4\ub97c \uae30\ubc18\uc73c\ub85c \ud569\ub2c8\ub2e4: (1) \uac01 \ub2e8\uc5b4\ub294 \uace0\uc720\ud55c \ubca1\ud130\ub97c \uac00\uc9c0\uba70, (2) \ubb38\uc11c \ub610\ud55c \uace0\uc720\ud55c \ubca1\ud130\ub97c \uac00\uc9c4\ub2e4\ub294 \uac83\uc785\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ubb38\uc11c \uac04\uc758 \uc720\uc0ac\uc131\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

2.1 Doc2Vec\uc758 \uc791\ub3d9 \uc6d0\ub9ac<\/h3>\n
Doc2Vec \ubaa8\ub378\uc740 \ub450 \uac00\uc9c0 \ubcc0\ud615\uc778 Distributed Bag of Words (DBOW)\uc640 Distributed Memory (DM) \ubc29\uc2dd\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. DBOW \ubc29\uc2dd\uc740 \ubb38\uc11c\uc758 \ubca1\ud130\ub9cc\uc73c\ub85c \ub2e8\uc5b4\ub97c \uc608\uce21\ud558\ub294 \ubc18\uba74, DM \ubc29\uc2dd\uc740 \ub2e8\uc5b4\uc640 \ubb38\uc11c \ubca1\ud130\ub97c \ud568\uaed8 \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc74c \ub2e8\uc5b4\ub97c \uc608\uce21\ud569\ub2c8\ub2e4. \uc774 \ub450 \uac00\uc9c0 \ubc29\uc2dd\uc758 \uacb0\ud569\uc744 \ud1b5\ud574 \ubcf4\ub2e4 \ud48d\ubd80\ud55c \ubb38\uc11c \ud45c\ud604\uc744 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

2.2 \ud559\uc2b5 \uacfc\uc815<\/h3>\n
Doc2Vec\uc758 \ud559\uc2b5 \uacfc\uc815\uc740 \ub300\ub7c9\uc758 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \uc9c4\ud589\ub429\ub2c8\ub2e4. \ubb38\uc11c\uc640 \ub2e8\uc5b4\uac00 \ud568\uaed8 \uc81c\uacf5\ub418\uba70, \ubaa8\ub378\uc740 \uac01 \ubb38\uc11c\uc5d0 \ub300\ud55c \uace0\uc720\ud55c \ubca1\ud130\ub97c \ud559\uc2b5\ud569\ub2c8\ub2e4. \ud559\uc2b5\uc774 \uc644\ub8cc\ub41c \ud6c4 \uc774 \ubca1\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubb38\uc11c \uac04 \uc720\uc0ac\ub3c4\ub97c \ube44\uad50\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

3. \uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c \ub370\uc774\ud130 \uc774\ud574<\/h2>\n
\uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c\ub294 \uae30\uc5c5\uc758 \uc7ac\ubb34 \uc0c1\ud0dc\uc640 \uacbd\uc601 \uc131\uacfc\ub97c \uc8fc\uc8fc\uc5d0\uac8c \uc804\ub2ec\ud558\ub294 \uc911\uc694\ud55c \ubb38\uc11c\uc785\ub2c8\ub2e4. \uc774 \ubb38\uc11c\ub4e4\uc740 \ub300\ub7c9\uc73c\ub85c \uc874\uc7ac\ud558\uba70, \uc7a5\uae30\uc801\uc73c\ub85c \uae30\uc5c5 \ubd84\uc11d\uc5d0 \uc788\uc5b4 \ud544\uc218\uc801\uc778 \uc790\ub8cc\uc785\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc774\ub7ec\ud55c \ubb38\uc11c\ub4e4\uc740 \ube44\uc815\ud615 \ub370\uc774\ud130\ub85c \uad6c\uc131\ub418\uc5b4 \uc788\uc5b4, \uac04\ub2e8\ud55c \ud14d\uc2a4\ud2b8 \ubd84\uc11d\uc73c\ub85c\ub294 \ud55c\uacc4\uac00 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

3.1 \uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c\uc758 \uad6c\uc870<\/h3>\n

\uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \ub2e4\uc74c\uacfc \uac19\uc740 \uad6c\uc131 \uc694\uc18c\ub97c \ud3ec\ud568\ud569\ub2c8\ub2e4:<\/p>\n

\ud68c\uc0ac \uac1c\uc694 \ubc0f \ube44\uc988\ub2c8\uc2a4 \ubaa8\ub378<\/li>\n
\uc7ac\ubb34 \uc81c\ud45c<\/li>\n
\uc8fc\uc694 \uacbd\uc601 \uc9c0\ud45c<\/li>\n
\uc704\ud5d8 \uc694\uc18c \ubd84\uc11d<\/li>\n

\ubbf8\ub798 \uc804\ub9dd \ubc0f \uacc4\ud68d<\/li>\n<\/ul>\n

\uc774\ub7ec\ud55c \uc815\ubcf4\ub4e4\uc744 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\ubc95\uc73c\ub85c \ubd84\uc11d\ud568\uc73c\ub85c\uc368 \ubb38\uc11c \uac04\uc758 \uc720\uc0ac\uc131\uc744 \ud3c9\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

4. Doc2Vec\uc744 \uc774\uc6a9\ud55c \uc720\uc0ac\ub3c4 \uacc4\uc0b0<\/h2>\n
\uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c\uc758 \uc720\uc0ac\ub3c4\ub97c \uacc4\uc0b0\ud558\ub294 \uacfc\uc815\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. \uc774 \uc808\ucc28\ub294 \ub370\uc774\ud130 \uc218\uc9d1, \uc804\ucc98\ub9ac, Doc2Vec \ubaa8\ub378 \ud559\uc2b5, \uc720\uc0ac\ub3c4 \uacc4\uc0b0\uc758 \ub2e8\uacc4\ub97c \ud3ec\ud568\ud569\ub2c8\ub2e4.<\/p>\n

4.1 \ub370\uc774\ud130 \uc218\uc9d1<\/h3>\n
\ud604\ub300\uc758 \ub2e4\uc591\ud55c \uc815\ubcf4 \ucd9c\ucc98\uc5d0\uc11c \uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c\ub97c \uc218\uc9d1\ud574\uc57c \ud569\ub2c8\ub2e4. \uae30\uacc4\uc801 \uc218\uc9d1 \ubc29\uc548\uc73c\ub85c\ub294 \uc6f9 \uc2a4\ud06c\ub798\ud551, API \uc774\uc6a9 \ub4f1\uc774 \uc788\uc73c\uba70, \uc774\ub97c \ud1b5\ud574 \ub2e4\uc591\ud55c \ud615\uc2dd\uc758 \ub370\uc774\ud130\ub97c \ud655\ubcf4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

4.2 \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n

\uc218\uc9d1\ub41c \ub370\uc774\ud130\ub294 \uc804\ucc98\ub9ac \uacfc\uc815\uc744 \ud1b5\ud574 \ubb38\uc11c \ud615\ud0dc\ub85c \uc815\ub9ac\ud574\uc57c \ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc778 \uc804\ucc98\ub9ac \uacfc\uc815\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n

\ubd88\uc6a9\uc5b4 \uc81c\uac70<\/li>\n
\uc5b4\uac04 \ucd94\ucd9c(Stemming) \ub610\ub294 \ud45c\uc81c\uc5b4 \ucd94\ucd9c(Lemmatization)<\/li>\n
\ud2b9\uc218 \ubb38\uc790 \ubc0f \uc22b\uc790 \uc81c\uac70<\/li>\n

\ud1a0\ud070\ud654(Tokenization)<\/li>\n<\/ul>\n

\uc774\ub7ec\ud55c \uacfc\uc815\uc744 \ud1b5\ud574 \ub2e8\uc5b4\ub4e4 \uac04\uc758 \uc758\ubbf8\ub97c \ubcf4\ub2e4 \uba85\ud655\ud788 \ud560 \uc218 \uc788\uc73c\uba70, Doc2Vec \ubaa8\ub378\uc758 \ud559\uc2b5 \ud6a8\uc728\uc131\uc744 \ub192\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

4.3 Doc2Vec \ubaa8\ub378 \ud559\uc2b5<\/h3>\n

\uc804\ucc98\ub9ac \ud6c4\uc5d0\ub294 Doc2Vec \ubaa8\ub378\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4. Python\uc758 gensim \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uba74 \ud6a8\uc728\uc801\uc73c\ub85c Doc2Vec \ubaa8\ub378\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uc608\uc81c \ucf54\ub4dc\uc785\ub2c8\ub2e4:<\/p>\n

import gensim\n\nfrom gensim.models import Doc2Vec\n\nfrom nltk.tokenize import word_tokenize\n\n\n\n# \ub370\uc774\ud130 \ubd88\ub7ec\uc624\uae30\n\ndocuments = [...]  # \uc804\ucc98\ub9ac\ub41c \uc0ac\uc5c5\ubcf4\uace0\uc11c \ub370\uc774\ud130 \ub9ac\uc2a4\ud2b8\n\ntagged_data = [gensim.models.doc2vec.TaggedDocument(words=word_tokenize(doc), tags=[str(i)]) for i, doc in enumerate(documents)]\n\n\n\n# Doc2Vec \ubaa8\ub378 \ucd08\uae30\ud654 \ubc0f \ud559\uc2b5\n\nmodel = Doc2Vec(vector_size=20, min_count=1, epochs=100)\n\nmodel.build_vocab(tagged_data)\n\nmodel.train(tagged_data, total_examples=model.corpus_count, epochs=model.epochs)<\/code><\/pre>\n4.4 \uc720\uc0ac\ub3c4 \uacc4\uc0b0<\/h3>\n\ubaa8\ub378 \ud559\uc2b5\uc774 \uc644\ub8cc\ub41c \ud6c4, \uac01 \uc0ac\uc5c5\ubcf4\uace0\uc11c \ubb38\uc11c\uc5d0 \ub300\ud55c \ubca1\ud130\ub97c \ucd94\ucd9c\ud558\uace0 \ubb38\uc11c \uac04\uc758 \uc720\uc0ac\ub3c4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4. gensim \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc27d\uac8c \uc720\uc0ac\ub3c4\ub97c \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
# \uc720\uc0ac\ub3c4 \uacc4\uc0b0\n\nsimilarity = model.wv.n_similarity([\"\uc0ac\uc5c5\ubcf4\uace0\uc11c 1 \ub0b4\uc6a9\"], [\"\uc0ac\uc5c5\ubcf4\uace0\uc11c 2 \ub0b4\uc6a9\"])<\/code><\/pre>\n\uc704\uc758 \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uba74 \ub450 \ubb38\uc11c \uac04\uc758 \uc720\uc0ac\ub3c4\ub97c 0\uacfc 1 \uc0ac\uc774\uc758 \uac12\uc73c\ub85c \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uac12\uc774 1\uc5d0 \uac00\uae4c\uc6b8\uc218\ub85d \ub450 \ubb38\uc11c \uac04\uc758 \uc720\uc0ac\ub3c4\uac00 \ub192\uc74c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/p>\n
5. \uacb0\uacfc \ubc0f \ubd84\uc11d<\/h2>\n\ubaa8\ub378\uc758 \ubd84\uc11d \uacb0\uacfc\ub294 \uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c \uac04 \uc720\uc0ac\ub3c4\ub97c \uc218\uce58\uc801\uc73c\ub85c \ub098\ud0c0\ub0b4\uba70, \uc774\ub97c \ud1b5\ud574 \ube44\uc988\ub2c8\uc2a4 \ubc0f \uc7ac\ubb34 \ubd84\uc11d\uc5d0 \ud65c\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ub192\uc740 \uc720\uc0ac\ub3c4\ub97c \ub098\ud0c0\ub0b4\ub294 \ub450 \ubb38\uc11c\ub294 \ube44\uc2b7\ud55c \uc0b0\uc5c5\uad70\uc5d0 \uc18d\ud558\uac70\ub098 \uc720\uc0ac\ud55c \uacb0\uc815 \uc0ac\ud56d\uc744 \ubcf4\uc600\ub2e4\ub294 \uac83\uc744 \uc758\ubbf8\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
5.1 \uacb0\uacfc \uc2dc\uac01\ud654<\/h3>\n\uacc4\uc0b0\ub41c \uc720\uc0ac\ub3c4 \uacb0\uacfc\ub97c \uc2dc\uac01\ud654 \ud558\uc5ec \ubd84\uc11d\ud558\ub294 \uac83\ub3c4 \uc911\uc694\ud569\ub2c8\ub2e4. matplotlib\uacfc seaborn\uacfc \uac19\uc740 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub97c \uc9c4\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
import matplotlib.pyplot as plt\n\nimport seaborn as sns\n\n\n\n# \ub370\uc774\ud130 \ud504\ub808\uc784 \uc0dd\uc131\n\nimport pandas as pd\n\n\n\nsimilarity_data = pd.DataFrame(similarity_list, columns=['Document1', 'Document2', 'Similarity'])\n\nsns.heatmap(similarity_data.pivot(\"Document1\", \"Document2\", \"Similarity\"), annot=True)<\/code><\/pre>\n6. \uacb0\ub860<\/h2>\nDoc2Vec\uc744 \ud65c\uc6a9\ud55c \uc720\uc0ac\ub3c4 \uacc4\uc0b0\uc740 \uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c\uc640 \uac19\uc740 \ube44\uc815\ud615 \ub370\uc774\ud130 \ubd84\uc11d\uc5d0\uc11c \ub9e4\uc6b0 \uc720\uc6a9\ud55c \ub3c4\uad6c\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\uc220\uc744 \ud1b5\ud574 \uae30\uc5c5 \ubd84\uc11d\uc758 \uc9c8\uc744 \ub192\uc774\uace0, \ub354 \ub098\uc544\uac00 \ud6a8\uacfc\uc801\uc778 \uc758\uc0ac \uacb0\uc815\uc744 \uc9c0\uc6d0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud5a5\ud6c4\uc5d0\ub294 \ub354\uc6b1 \uc815\uad50\ud55c \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec, \uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c\uc758 \uc2ec\uce35 \ubd84\uc11d\uacfc \uc608\uce21 \ubaa8\ub378\ub9c1\uc5d0 \uae30\uc5ec\ud560 \uc218 \uc788\uc744 \uac83\uc785\ub2c8\ub2e4.<\/p>\n
7. \ucc38\uace0 \ubb38\ud5cc<\/h2>\n\nLe, Q., & Mikolov, T. (2014). Distributed Representations of Sentences and Documents. In Proceedings of the International Conference on Machine Learning (ICML).<\/li>\n
Goldwater, S., & Griffiths, T. L. (2007). A fully Bayesian approach to unsupervised part-of-speech tagging. In Proceedings of the Association for Computational Linguistics (ACL).<\/li>\n<\/ul>\n<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ucef4\ud4e8\ud130\uc640 \uc778\uac04 \uc5b8\uc5b4 \uac04\uc758 \uc0c1\ud638\uc791\uc6a9\uc744 \ud3ec\ud568\ud55c \ucef4\ud4e8\ud130 \uacfc\ud559\uc758 \ud558\uc704 \ud544\ub4dc\ub85c, \uc778\uacf5\uc9c0\ub2a5\uc758 \uc911\uc694\ud55c \ubd84\uc57c \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc774\uc5d0 \ub530\ub77c \ub525 \ub7ec\ub2dd \uae30\uc220\uc774 \ubc1c\ub2ec\ud558\uba74\uc11c NLP\uc758 \ub2e4\uc591\ud55c \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \ub370 \ud070 \ub3c4\uc6c0\uc744 \uc8fc\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, Doc2Vec\uc740 \ubb38\uc11c\uc758 \uc758\ubbf8\ub97c \ubca1\ud130 \uacf5\uac04\uc5d0 \ub9e4\ud551\ud558\uc5ec \ubb38\uc11c \uac04\uc758 \uc720\uc0ac\ub3c4\ub97c \uacc4\uc0b0\ud558\ub294 \ub370 \ud6a8\uacfc\uc801\uc778 \ubc29\ubc95\ub860 \uc911 \ud558\ub098\ub85c, \ub9ce\uc740 \uc5f0\uad6c\uc5d0\uc11c \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 Doc2Vec\uc744 … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, Doc2Vec\uc73c\ub85c \uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c \uc720\uc0ac\ub3c4 \uacc4\uc0b0\ud558\uae30”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[16],"tags":[],"class_list":["post-25313","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\n\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, Doc2Vec\uc73c\ub85c \uacf5\uc2dc \uc0ac\uc5c5\ubcf4\uace0\uc11c \uc720\uc0ac\ub3c4 \uacc4\uc0b0\ud558\uae30 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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