{"id":25347,"date":"2024-10-26T09:54:18","date_gmt":"2024-10-26T09:54:18","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25347"},"modified":"2024-11-26T08:02:05","modified_gmt":"2024-11-26T08:02:05","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-nlp%eb%a5%bc-%ec%9c%84%ed%95%9c-%ed%95%a9%ec%84%b1%ea%b3%b1-%ec%8b%a0%ea%b2%bd","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25347\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, NLP\ub97c \uc704\ud55c \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(Convolution Neural Network)"},"content":{"rendered":"<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud55c \ubd84\uc57c\ub85c, \uae30\uacc4\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804 \ub355\ubd84\uc5d0 NLP \ubd84\uc57c\ub294 \uae09\uc18d\ub3c4\ub85c \ubc1c\uc804\ud558\uc600\uc73c\uba70, \uadf8\uc911\uc5d0\uc11c\ub3c4 \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(Convolutional Neural Networks, CNNs)\uc740 \ud14d\uc2a4\ud2b8 \ucc98\ub9ac\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub780?<\/h2>\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ucef4\ud4e8\ud130 \uacf5\ud559, \uc778\uacf5\uc9c0\ub2a5, \uc5b8\uc5b4\ud559\uc758 \uad50\ucc28\uc810\uc5d0\uc11c \ubc1c\uc804\ud55c \ubd84\uc57c\ub85c, \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uae30\uacc4\uac00 \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. NLP\uc758 \uc911\uc694\ud55c \ubaa9\uc801\uc740 \uae30\uacc4\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0, \ubb38\uc7a5\uc744 \ud574\uc11d\ud558\uba70, \uc758\ubbf8\ub97c \ucd94\ucd9c\ud558\uace0, \ucd5c\uc885\uc801\uc73c\ub85c\ub294 \uc778\uac04\uacfc \uac19\uc740 \ubc29\uc2dd\uc73c\ub85c \uc790\uc5f0\uc2a4\ub7ec\uc6b4 \uc5b8\uc5b4\ub97c \uc0dd\uc131\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h2>2. \ub525 \ub7ec\ub2dd\uacfc NLP\uc758 \uacb0\ud569<\/h2>\n<p>\ub525 \ub7ec\ub2dd\uc740 \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \uae30\uacc4 \ud559\uc2b5 \uae30\ubc95\uc73c\ub85c, \ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \ubcf5\uc7a1\ud55c \ud328\ud134\uc744 \ud559\uc2b5\ud558\ub294 \ub370 \ub9e4\uc6b0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4. NLP \ubd84\uc57c\uc5d0\uc11c\ub3c4 \ub525 \ub7ec\ub2dd\uc774 \uc801\uc6a9\ub418\uba74\uc11c \ub2e4\uc591\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc5d0\uc11c \ub192\uc740 \uc815\ud655\ub3c4\ub97c \ub2ec\uc131\ud558\uac8c \ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd\uc740 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud560 \ub54c \uac15\ub825\ud55c \uc131\ub2a5\uc744 \ubc1c\ud718\ud558\ub294 \uac83\uc73c\ub85c \uc54c\ub824\uc838 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>3. \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(Convolutional Neural Networks, CNNs)\uc758 \uae30\ubcf8 \uac1c\ub150<\/h2>\n<p>\ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(CNN)\uc740 \uc8fc\ub85c \uc774\ubbf8\uc9c0 \uc778\uc2dd \ubc0f \ucc98\ub9ac\uc5d0 \uc0ac\uc6a9\ub418\uc9c0\ub9cc, \ucd5c\uadfc \uc5f0\uad6c\uc5d0 \ub530\ub974\uba74 NLP\uc5d0\uc11c\ub3c4 \uadf8 \ud6a8\uacfc\ub97c \uc785\uc99d\ud588\uc2b5\ub2c8\ub2e4. CNN\uc758 \uae30\ubcf8 \uad6c\uc870\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\uc785\ub825\uce35:<\/strong> \ub370\uc774\ud130\uac00 \uc785\ub825\ub418\ub294 \uce35\uc774\uba70, NLP\uc5d0\uc11c\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \ub2e8\uc5b4\uc758 \uc784\ubca0\ub529 \ubca1\ud130\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ud569\uc131\uacf1\uce35:<\/strong> \uc785\ub825 \ub370\uc774\ud130\uc5d0 \ud544\ud130\ub97c \uc801\uc6a9\ud558\uc5ec \ud2b9\uc9d5 \ub9f5(feature map)\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4. NLP\uc5d0\uc11c\ub294 \ub2e8\uc5b4\uc758 \ud328\ud134\uc774\ub098 \ubb38\ub9e5\uc744 \ud559\uc2b5\ud558\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ud480\ub9c1\uce35:<\/strong> \ud2b9\uc9d5 \ub9f5\uc758 \ucc28\uc6d0\uc744 \uc904\uc5ec\uc8fc\ub294 \uce35\uc73c\ub85c, \ud2b9\uc9d5\uc758 \ucd94\ucd9c \ubc0f \uc77c\ubc18\ud654\uc5d0 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4.<\/li>\n<li><strong>\uc644\uc804 \uc5f0\uacb0\uce35:<\/strong> \ucd5c\uc885\uc801\uc778 \uacb0\uacfc\ub97c \ucd9c\ub825\ud558\ub294 \uce35\uc73c\ub85c, \ubd84\ub958 \uc791\uc5c5\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>4. NLP\uc5d0\uc11c CNN\uc758 \uc801\uc6a9 \ubc29\ubc95<\/h2>\n<p>NLP\uc5d0\uc11c CNN\uc740 \uc8fc\ub85c \ud14d\uc2a4\ud2b8 \ubd84\ub958, \uac10\uc815 \ubd84\uc11d, \ubb38\uc11c \ubd84\ub958 \ub4f1\uacfc \uac19\uc740 \uc5ec\ub7ec \uc791\uc5c5\uc5d0 \uc801\uc6a9\ub429\ub2c8\ub2e4. \ub2e4\uc74c\uc740 NLP\uc5d0\uc11c CNN\uc744 \uc0ac\uc6a9\ud558\ub294 \uba87 \uac00\uc9c0 \ubc29\ubc95\uc785\ub2c8\ub2e4:<\/p>\n<h3>4.1. \ud14d\uc2a4\ud2b8 \ubd84\ub958<\/h3>\n<p>\ud14d\uc2a4\ud2b8 \ubd84\ub958 \uc791\uc5c5\uc5d0\uc11c CNN\uc740 \ub2e8\uc5b4 \uc784\ubca0\ub529\uc744 \uc785\ub825\uc73c\ub85c \ubc1b\uc544 \ub2e4\uc591\ud55c \ud544\ud130\ub97c \ud1b5\ud574 \ud2b9\uc9d5\uc744 \ucd94\ucd9c\ud569\ub2c8\ub2e4. \uac01 \ud544\ud130\ub294 \ud2b9\uc815 n-gram(\uc608: 2-gram, 3-gram)\uc758 \ud328\ud134\uc744 \ud3ec\ucc29\ud558\uba70, \uc774\ub97c \ud1b5\ud574 \ubb38\uc7a5\uc758 \uc758\ubbf8\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4.2. \uac10\uc815 \ubd84\uc11d<\/h3>\n<p>\uac10\uc815 \ubd84\uc11d\uc5d0\uc11c\ub294 \uc8fc\uc5b4\uc9c4 \ud14d\uc2a4\ud2b8\uc5d0\uc11c \uae0d\uc815\uc801, \ubd80\uc815\uc801, \uc911\ub9bd\uc801 \uac10\uc815\uc744 \ubd84\ub958\ud574\uc57c \ud569\ub2c8\ub2e4. CNN\uc740 \ud14d\uc2a4\ud2b8\uc758 \uac10\uc815\uc744 \ube60\ub974\uac8c \ud310\ub2e8\ud560 \uc218 \uc788\ub294 \ud2b9\uc9d5\uc744 \ud559\uc2b5\ud558\uc5ec \ub192\uc740 \uc815\ud655\ub3c4\ub85c \uac10\uc815 \ubd84\uc11d\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4.3. \ubb38\uc11c \ubd84\ub958<\/h3>\n<p>\ubb38\uc11c \ubd84\ub958 \uc791\uc5c5\uc5d0\uc11c\ub294 CNN\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac01 \ubb38\uc11c\uc5d0 \ub300\ud55c \ub77c\ubca8\uc744 \uc608\uce21\ud569\ub2c8\ub2e4. \uc5ec\ub7ec \ub808\uc774\uc5b4\uc5d0\uc11c \ucd94\ucd9c\ub41c \ud2b9\uc9d5\uc744 \ud1b5\ud574 \uac01 \ubb38\uc11c\uc758 \uc8fc\uc81c\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ubd84\ub958\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>5. CNN\uc758 \uc7a5\uc810\uacfc \ub2e8\uc810<\/h2>\n<p>CNN\uc744 \uc0ac\uc6a9\ud558\ub294 \uac83\uc5d0\ub294 \uc7a5\uc810\uacfc \ub2e8\uc810\uc774 \ubaa8\ub450 \uc874\uc7ac\ud569\ub2c8\ub2e4.<\/p>\n<h3>5.1. \uc7a5\uc810<\/h3>\n<ul>\n<li><strong>\ud2b9\uc9d5 \ucd94\ucd9c:<\/strong> CNN\uc740 \uc790\ub3d9\uc73c\ub85c \uc911\uc694\ud55c \ud2b9\uc9d5\uc744 \ucd94\ucd9c\ud560 \uc218 \uc788\uc5b4, \uc218\uc791\uc5c5\uc73c\ub85c \ud2b9\uc9d5\uc744 \uc815\uc758\ud558\ub294 \uacfc\uc815\uc744 \uc904\uc5ec\uc90d\ub2c8\ub2e4.<\/li>\n<li><strong>\uc758\ubbf8\uc801 \uc774\ud574:<\/strong> CNN\uc740 \ud328\ud134 \uc778\uc2dd\uc5d0 \uac15\ub825\ud558\uc5ec, \ub2e8\uc5b4 \uac04\uc758 \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \uc798 \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\ud6a8\uc728\uc131:<\/strong> CNN\uc740 \ubcd1\ub82c\ucc98\ub9ac\uc5d0\uc11c \ud6a8\uc728\uc801\uc774\uae30 \ub54c\ubb38\uc5d0 \ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc14b \ucc98\ub9ac\uc5d0 \uc801\ud569\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h3>5.2. \ub2e8\uc810<\/h3>\n<ul>\n<li><strong>\ud574\uc11d\uc758 \uc5b4\ub824\uc6c0:<\/strong> CNN\uc758 \ub0b4\ubd80 \ub3d9\uc791 \uc6d0\ub9ac\ub97c \ud574\uc11d\ud558\ub294 \uac83\uc740 \uc5b4\ub824\uc6b0\uba70, &#8216;\ube14\ub799 \ubc15\uc2a4&#8217; \ubb38\uc81c\ub97c \uc57c\uae30\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\uadc0\ucc2e\uc740 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \uc870\uc815:<\/strong> \ucd5c\uc801\uc758 \uc131\ub2a5\uc744 \uc704\ud574\uc11c\ub294 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \uc870\uc815\uc774 \ud544\uc694\ud558\uc9c0\ub9cc, \uc774\ub97c \ucc3e\ub294 \uacfc\uc815\uc774 \ubc88\uac70\ub85c\uc6b8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>6. CNN \ubaa8\ub378\uc758 \uad6c\uc131 \uc694\uc18c<\/h2>\n<p>\uc77c\ubc18\uc801\uc778 CNN \ubaa8\ub378\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uc8fc\uc694 \uad6c\uc131 \uc694\uc18c\ub85c \uc774\ub8e8\uc5b4\uc838 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<h3>6.1. \uc784\ubca0\ub529 \ub808\uc774\uc5b4<\/h3>\n<p>\ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc5d0\uc11c \ub2e8\uc5b4\ub97c \ubca1\ud130\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4. \uc774 \ub2e8\uacc4\uc5d0\uc11c\ub294 Word2Vec, GloVe \ub4f1\uc758 \ubbf8\ub9ac \ud559\uc2b5\ub41c \uc784\ubca0\ub529\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>6.2. \ud569\uc131\uacf1 \ub808\uc774\uc5b4<\/h3>\n<p>\uc5ec\ub7ec \uac1c\uc758 \ud544\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8\uc5d0\uc11c \ud2b9\uc815 \ud328\ud134\uc744 \ucd94\ucd9c\ud569\ub2c8\ub2e4. \uac01 \ud544\ud130\ub294 \uc11c\ub85c \ub2e4\ub978 n-gram\uc744 \uc778\uc2dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>6.3. \ud480\ub9c1 \ub808\uc774\uc5b4<\/h3>\n<p>\ud2b9\uc9d5 \ub9f5\uc758 \ucc28\uc6d0\uc744 \uc904\uc774\uba70, \uc911\uc694\ud55c \uc815\ubcf4\ub97c \uc720\uc9c0\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c Max Pooling\uc774\ub098 Average Pooling\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<h3>6.4. \uc644\uc804 \uc5f0\uacb0 \ub808\uc774\uc5b4<\/h3>\n<p>\ucd94\ucd9c\ub41c \ud2b9\uc9d5\uc744 \uae30\ubc18\uc73c\ub85c \ucd5c\uc885\uc801\uc778 \uc608\uce21 \uac12\uc744 \ucd9c\ub825\ud569\ub2c8\ub2e4.<\/p>\n<h2>7. CNN\uc744 \uc704\ud55c \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h2>\n<p>NLP\uc5d0\uc11c CNN\uc744 \ud6a8\uacfc\uc801\uc73c\ub85c \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uac00 \ud544\uc694\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc778 \uc804\ucc98\ub9ac \ub2e8\uacc4\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\ud1a0\ud070\ud654:<\/strong> \ubb38\uc7a5\uc744 \ub2e8\uc5b4\ub85c \ub098\ub204\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4.<\/li>\n<li><strong>\uc815\uc81c:<\/strong> \ubd88\ud544\uc694\ud55c \uad6c\ub450\uc810, \ud2b9\uc218\ubb38\uc790 \ub4f1\uc744 \uc81c\uac70\ud558\uc5ec \ub370\uc774\ud130\ub97c \uc815\uc81c\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uc784\ubca0\ub529:<\/strong> \uac01 \ub2e8\uc5b4\ub97c \uc784\ubca0\ub529 \ubca1\ud130\ub85c \ubcc0\ud658\ud558\uc5ec \uc785\ub825\uc73c\ub85c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>8. CNN\uc744 \uc774\uc6a9\ud55c NLP \ubaa8\ub378 \uad6c\ucd95 \uc608\uc81c<\/h2>\n<p>\uc544\ub798\ub294 \ud30c\uc774\uc36c\uacfc TensorFlow\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac04\ub2e8\ud55c CNN \uae30\ubc18\uc758 NLP \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n<pre>\n<code>\nimport tensorflow as tf\nfrom tensorflow.keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Embedding\nfrom tensorflow.keras.models import Sequential\n\n# \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \uc124\uc815\nvocab_size = 10000\nembedding_dim = 128\ninput_length = 200\n\n# \ubaa8\ub378 \uc815\uc758\nmodel = Sequential()\nmodel.add(Embedding(vocab_size, embedding_dim, input_length=input_length))\nmodel.add(Conv1D(filters=128, kernel_size=5, activation='relu'))\nmodel.add(MaxPooling1D(pool_size=2))\nmodel.add(Flatten())\nmodel.add(Dense(10, activation='softmax'))\n\n# \ubaa8\ub378 \ucef4\ud30c\uc77c\nmodel.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\n\n# \ubaa8\ub378 \uc694\uc57d\nmodel.summary()\n<\/code>\n<\/pre>\n<h2>9. CNN\uc758 \ubc1c\uc804 \ubc29\ud5a5<\/h2>\n<p>CNN\uc740 \ud604\uc7ac NLP \ubd84\uc57c\uc5d0\uc11c \ub9ce\uc740 \uc131\uacfc\ub97c \uc774\ub8e8\uc5b4\ub0b4\uace0 \uc788\uc9c0\ub9cc, \uc55e\uc73c\ub85c\uc758 \uc5f0\uad6c\uc5d0\uc11c \ub2e4\uc74c\uacfc \uac19\uc740 \ubc29\ud5a5\uc73c\ub85c \ubc1c\uc804\ud560 \uac83\uc785\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\uc804\uc774 \ud559\uc2b5:<\/strong> BERT, GPT\uc640 \uac19\uc740 \ub300\uaddc\ubaa8 \uc5b8\uc5b4 \ubaa8\ub378\uc744 \ud65c\uc6a9\ud55c \uc804\uc774 \ud559\uc2b5 \uc5f0\uad6c\uac00 \uc9c0\uc18d\uc801\uc73c\ub85c \uc774\ub8e8\uc5b4\uc9c8 \uac83\uc785\ub2c8\ub2e4.<\/li>\n<li><strong>\ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378:<\/strong> CNN\uacfc RNN, Transformer \ubaa8\ub378\uc758 \uacb0\ud569\uc744 \ud1b5\ud55c \ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378 \uac1c\ubc1c\uc774 \uae30\ub300\ub429\ub2c8\ub2e4.<\/li>\n<li><strong>\ud574\uc11d \uac00\ub2a5\uc131 \uc81c\uace0:<\/strong> CNN \ubaa8\ub378\uc758 \ud574\uc11d \uac00\ub2a5\uc131\uc744 \ub192\uc774\uae30 \uc704\ud55c \uc5f0\uad6c\uac00 \uc9c0\uc18d\ub420 \uac83\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>10. \uacb0\ub860<\/h2>\n<p>\ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(CNN)\uc740 NLP \ubd84\uc57c\uc5d0\uc11c \ub9e4\uc6b0 \uc720\uc6a9\ud55c \ub3c4\uad6c\ub85c \uc790\ub9ac\uc7a1\uc558\uc2b5\ub2c8\ub2e4. \ubb38\ub9e5\uc744 \uc774\ud574\ud558\uace0 \uc911\uc694\ud55c \ud328\ud134\uc744 \ucd94\ucd9c\ud558\ub294 \ub370 \uc788\uc5b4 CNN\uc758 \uac15\ub825\ud55c \uc131\ub2a5\uc740 \uc5ec\ub7ec NLP \uc791\uc5c5\uc5d0\uc11c \uadf8 \ud6a8\uc6a9\uc131\uc744 \ubcf4\uc5ec\uc8fc\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c CNN\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \ub9ce\uc740 \uc5f0\uad6c\uc640 \ubc1c\uc804\uc774 \uae30\ub300\ub429\ub2c8\ub2e4.<\/p>\n<h2>\ucc38\uace0 \ubb38\ud5cc<\/h2>\n<ul>\n<li>Yoon Kim, &#8220;Convolutional Neural Networks for Sentence Classification&#8221;, 2014.<\/li>\n<li>Kim, S.-Y. et al., &#8220;Deep learning for natural language processing: A survey&#8221;, 2021.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud55c \ubd84\uc57c\ub85c, \uae30\uacc4\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804 \ub355\ubd84\uc5d0 NLP \ubd84\uc57c\ub294 \uae09\uc18d\ub3c4\ub85c \ubc1c\uc804\ud558\uc600\uc73c\uba70, \uadf8\uc911\uc5d0\uc11c\ub3c4 \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(Convolutional Neural Networks, CNNs)\uc740 \ud14d\uc2a4\ud2b8 \ucc98\ub9ac\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub780? \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ucef4\ud4e8\ud130 \uacf5\ud559, \uc778\uacf5\uc9c0\ub2a5, \uc5b8\uc5b4\ud559\uc758 \uad50\ucc28\uc810\uc5d0\uc11c \ubc1c\uc804\ud55c \ubd84\uc57c\ub85c, \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uae30\uacc4\uac00 \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud558\ub294 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/25347\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, NLP\ub97c \uc704\ud55c \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(Convolution Neural Network)&#8221;<\/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-25347","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\ub525 \ub7ec\ub2dd\uc744 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\uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804 \ub355\ubd84\uc5d0 NLP \ubd84\uc57c\ub294 \uae09\uc18d\ub3c4\ub85c \ubc1c\uc804\ud558\uc600\uc73c\uba70, \uadf8\uc911\uc5d0\uc11c\ub3c4 \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(Convolutional Neural Networks, CNNs)\uc740 \ud14d\uc2a4\ud2b8 \ucc98\ub9ac\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub780? \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ucef4\ud4e8\ud130 \uacf5\ud559, \uc778\uacf5\uc9c0\ub2a5, \uc5b8\uc5b4\ud559\uc758 \uad50\ucc28\uc810\uc5d0\uc11c \ubc1c\uc804\ud55c \ubd84\uc57c\ub85c, \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uae30\uacc4\uac00 \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud558\ub294 &hellip; \ub354 \ubcf4\uae30 &quot;\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, NLP\ub97c \uc704\ud55c \ud569\uc131\uacf1 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