\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubaa8\ub354\ub098 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 BERT [CLS] \ubca1\ud130 \ucd94\ucd9c - \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\" href=\"https:\/\/atmokpo.com\/w\/29664\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubaa8\ub354\ub098 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 BERT [CLS] \ubca1\ud130 \ucd94\ucd9c - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ub525\ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc758 \ubc1c\uc804\uc73c\ub85c \ub9ce\uc740 \uae30\uc5c5\ub4e4\uc774 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\ub294 \ub2e4\uc591\ud55c \ubc29\ubc95\ub4e4\uc744 \ubaa8\uc0c9\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers)\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc758 \uc758\ubbf8\ub97c \ubcf4\ub2e4 \uae4a\uc774 \uc774\ud574\ud558\ub294 \ub370 \ud601\uc2e0\uc801\uc778 \ubaa8\ub378\ub85c \uc790\ub9ac\uc7a1\uc558\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformers) \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud574 \ubaa8\ub354\ub098\uc640 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 \uad00\ub828 \ud14d\uc2a4\ud2b8\uc5d0\uc11c [CLS] \ubca1\ud130\ub97c \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. 1. BERT \ubaa8\ub378 \uc18c\uac1c BERT\ub294 \uad6c\uae00\uc5d0\uc11c \uac1c\ubc1c\ud55c \uc0ac\uc804 … \ub354 \ubcf4\uae30 "\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubaa8\ub354\ub098 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 BERT [CLS] \ubca1\ud130 \ucd94\ucd9c"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29664\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T01:55:59+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:51:47+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/29664\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29664\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubaa8\ub354\ub098 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 BERT [CLS] \ubca1\ud130 \ucd94\ucd9c\",\"datePublished\":\"2024-10-28T01:55:59+00:00\",\"dateModified\":\"2024-11-26T06:51:47+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29664\/\"},\"wordCount\":48,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/29664\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29664\/\",\"name\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubaa8\ub354\ub098 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 BERT [CLS] \ubca1\ud130 \ucd94\ucd9c - 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{"id":29664,"date":"2024-10-28T01:55:59","date_gmt":"2024-10-28T01:55:59","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29664"},"modified":"2024-11-26T06:51:47","modified_gmt":"2024-11-26T06:51:47","slug":"%ed%97%88%ea%b9%85%ed%8e%98%ec%9d%b4%ec%8a%a4-%ed%8a%b8%eb%a0%8c%ec%8a%a4%ed%8f%ac%eb%a8%b8-%ed%99%9c%ec%9a%a9%ea%b0%95%ec%a2%8c-%eb%aa%a8%eb%8d%94%eb%82%98-%ed%99%94%ec%9d%b4%ec%9e%90-covid-19","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29664\/","title":{"rendered":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubaa8\ub354\ub098 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 BERT [CLS] \ubca1\ud130 \ucd94\ucd9c"},"content":{"rendered":"

<\/p>\n

\ub525\ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc758 \ubc1c\uc804\uc73c\ub85c \ub9ce\uc740 \uae30\uc5c5\ub4e4\uc774 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\ub294 \ub2e4\uc591\ud55c \ubc29\ubc95\ub4e4\uc744 \ubaa8\uc0c9\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers)\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc758 \uc758\ubbf8\ub97c \ubcf4\ub2e4 \uae4a\uc774 \uc774\ud574\ud558\ub294 \ub370 \ud601\uc2e0\uc801\uc778 \ubaa8\ub378\ub85c \uc790\ub9ac\uc7a1\uc558\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformers)<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud574 \ubaa8\ub354\ub098\uc640 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 \uad00\ub828 \ud14d\uc2a4\ud2b8\uc5d0\uc11c [CLS] \ubca1\ud130\ub97c \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. BERT \ubaa8\ub378 \uc18c\uac1c<\/h2>\n
BERT\ub294 \uad6c\uae00\uc5d0\uc11c \uac1c\ubc1c\ud55c \uc0ac\uc804 \ud559\uc2b5\ub41c \uc5b8\uc5b4 \ubaa8\ub378\ub85c, \uc8fc\uc5b4\uc9c4 \ubb38\uc7a5\uc758 \ucee8\ud14d\uc2a4\ud2b8\ub97c \uc774\ud574\ud558\uace0 \ub2e4\uc591\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ud0dc\uc2a4\ud06c\uc5d0 \ud65c\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. BERT\uc758 \uad6c\uc870\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n
Bidirectional:<\/strong> BERT\ub294 \ubb38\ub9e5\uc744 \uc774\ud574\ud558\uae30 \uc704\ud574 \ubb38\uc7a5\uc744 \uc591\ubc29\ud5a5\uc73c\ub85c \ucc98\ub9ac\ud569\ub2c8\ub2e4. \uc774\ub294 \ub2e8\uc5b4\uc758 \uc758\ubbf8\ub97c \uc8fc\ubcc0 \ub2e8\uc5b4\ub4e4\uacfc\uc758 \uad00\uacc4\uc5d0\uc11c \ud30c\uc545\ud560 \uc218 \uc788\uac8c \ud569\ub2c8\ub2e4.<\/li>\n
Transformer:<\/strong> BERT\ub294 Transformer \uc544\ud0a4\ud14d\ucc98\ub97c \uae30\ubc18\uc73c\ub85c \ud558\uba70, self-attention \uba54\ucee4\ub2c8\uc998\uc744 \ud1b5\ud574 \ubb38\uc7a5 \ub0b4\uc758 \ubaa8\ub4e0 \ub2e8\uc5b4 \uac04\uc758 \uad00\uacc4\ub97c \ud559\uc2b5\ud569\ub2c8\ub2e4.<\/li>\n
[CLS] \ud1a0\ud070:<\/strong> BERT \ubaa8\ub378\uc5d0 \uc785\ub825\ub418\ub294 \ubb38\uc7a5\uc758 \uc2dc\uc791 \ubd80\ubd84\uc5d0\ub294 \ud56d\uc0c1 [CLS]\ub77c\ub294 \ud2b9\ubcc4\ud55c \ud1a0\ud070\uc774 \ucd94\uac00\ub429\ub2c8\ub2e4. \uc774 \ud1a0\ud070\uc758 \ubca1\ud130\ub294 \ubb38\uc7a5 \uc804\uccb4\uc758 \uc758\ubbf8\ub97c \ud45c\ud604\ud558\uba70, \ubd84\ub958 \ubb38\uc81c\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
2. \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58<\/h2>\n
\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc744 \uc704\ud55c \ub2e4\uc591\ud55c \ubaa8\ub378\uacfc \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc124\uce58\ub294 \ub2e4\uc74c\uacfc \uac19\uc774 \uc9c4\ud589\ud569\ub2c8\ub2e4:<\/p>\n
pip install transformers torch<\/code><\/pre>\n3. \ub370\uc774\ud130 \uc900\ube44<\/h2>\n\uc774\uc81c \ubaa8\ub354\ub098\uc640 \ud654\uc774\uc790 \uad00\ub828 \ubb38\uc11c\ub4e4\uc744 \uc900\ube44\ud558\uaca0\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 \uc608\uc2dc\ub85c \uac04\ub2e8\ud55c \ubb38\uc7a5\ub4e4\uc744 \uc0ac\uc6a9\ud558\uaca0\uc2b5\ub2c8\ub2e4. \uc2e4\uc81c \uc0ac\uc6a9 \uc2dc\uc5d0\ub294 \ub354 \ub9ce\uc740 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n texts = [\n \"\ubaa8\ub354\ub098 Covid-19 \ubc31\uc2e0\uc740 94.1%\uc758 \ud6a8\ub2a5\uc744 \ubcf4\uc600\ub2e4.\",\n \"\ud654\uc774\uc790 \ubc31\uc2e0\uc758 \ud6a8\ub2a5\uc740 95%\ub85c \ubcf4\uace0\ub418\uc5c8\ub2e4.\",\n \"\ubaa8\ub354\ub098\uc640 \ud654\uc774\uc790 \ubc31\uc2e0\uc740 mRNA \uae30\uc220\uc744 \uc0ac\uc6a9\ud55c\ub2e4.\"\n ]<\/code><\/pre>\n4. BERT \ubaa8\ub378 \ub85c\ub4dc \ubc0f \ubca1\ud130 \ucd94\ucd9c<\/h2>\nBERT \ubaa8\ub378\uacfc \ud1a0\ud06c\ub098\uc774\uc800\ub97c \ub85c\ub4dc\ud55c \ud6c4, \uc785\ub825 \ubb38\uc7a5\uc5d0 \ub300\ud55c [CLS] \ubca1\ud130\ub97c \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95\uc744 \uc18c\uac1c\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n \nfrom transformers import BertTokenizer, BertModel\nimport torch\n\n# BERT \ubaa8\ub378\uacfc \ud1a0\ud06c\ub098\uc774\uc800 \ub85c\ub4dc\ntokenizer = BertTokenizer.from_pretrained('bert-base-uncased')\nmodel = BertModel.from_pretrained('bert-base-uncased')\n\n# \ud14d\uc2a4\ud2b8 \uc785\ub825\ntexts = [\n \"\ubaa8\ub354\ub098 Covid-19 \ubc31\uc2e0\uc740 94.1%\uc758 \ud6a8\ub2a5\uc744 \ubcf4\uc600\ub2e4.\",\n \"\ud654\uc774\uc790 \ubc31\uc2e0\uc758 \ud6a8\ub2a5\uc740 95%\ub85c \ubcf4\uace0\ub418\uc5c8\ub2e4.\",\n \"\ubaa8\ub354\ub098\uc640 \ud654\uc774\uc790 \ubc31\uc2e0\uc740 mRNA \uae30\uc220\uc744 \uc0ac\uc6a9\ud55c\ub2e4.\"\n]\n\n# [CLS] \ubca1\ud130 \ucd94\ucd9c\ncls_vectors = []\nfor text in texts:\n inputs = tokenizer(text, return_tensors='pt', truncation=True, padding=True)\n outputs = model(**inputs)\n cls_vector = outputs.last_hidden_state[0][0] # [CLS] \ubca1\ud130\n cls_vectors.append(cls_vector.detach().numpy())\n<\/code><\/pre>\n5. \uacb0\uacfc \ubd84\uc11d<\/h2>\n\uc704 \ucf54\ub4dc\ub97c \uc2e4\ud589\ud558\uba74 \uac01 \ubb38\uc7a5\uc5d0 \ub300\ud55c [CLS] \ubca1\ud130\uac00 \ucd94\ucd9c\ub429\ub2c8\ub2e4. \uc774 \ubca1\ud130\ub4e4\uc740 \ubb38\uc7a5\uc758 \uc758\ubbf8\ub97c \uace0\ucc28\uc6d0 \uacf5\uac04\uc5d0\uc11c \ud45c\ud604\ud558\ubbc0\ub85c, \uc774\ud6c4 \ub2e4\ub978 NLP \ud0dc\uc2a4\ud06c\uc5d0 \ud65c\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n 5.1. \ubca1\ud130 \uc2dc\uac01\ud654 \uc608\uc81c<\/h3>\n\ucd94\ucd9c\ud55c \ubca1\ud130\ub97c \uc2dc\uac01\ud654\ud558\uac70\ub098 \uad70\uc9d1\ud654\ud558\uc5ec \ubb38\uc7a5 \uac04\uc758 \uc720\uc0ac\uc131 \ubd84\uc11d\uc744 \uc9c4\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n \nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn.decomposition import PCA\n\n# \ubca1\ud130\ub97c 2\ucc28\uc6d0\uc73c\ub85c \ucd95\uc18c\npca = PCA(n_components=2)\nreduced_vectors = pca.fit_transform(np.array(cls_vectors))\n\n# \uc2dc\uac01\ud654\nplt.figure(figsize=(10, 6))\nfor i, text in enumerate(texts):\n plt.scatter(reduced_vectors[i, 0], reduced_vectors[i, 1])\n plt.annotate(text, (reduced_vectors[i, 0], reduced_vectors[i, 1]))\nplt.title('BERT [CLS] Vectors Visualization')\nplt.xlabel('PC1')\nplt.ylabel('PC2')\nplt.grid()\nplt.show()\n<\/code><\/pre>\n6. \uacb0\ub860<\/h2>\n\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec BERT \ubaa8\ub378\ub85c\ubd80\ud130 \ubaa8\ub354\ub098\uc640 \ud654\uc774\uc790 \ubc31\uc2e0 \uad00\ub828 \ud14d\uc2a4\ud2b8\uc758 [CLS] \ubca1\ud130\ub97c \ucd94\ucd9c\ud558\ub294 \uacfc\uc815\uc744 \ub2e4\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc758 \uc758\ubbf8\ub97c \uc774\ud574\ud558\uace0, \ub2e4\uc591\ud55c NLP \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc5d0 \ud65c\uc6a9\ud560 \uc218 \uc788\ub294 \uae30\ucd08\ub97c \ub9c8\ub828\ud558\uc600\uc2b5\ub2c8\ub2e4.<\/p>\n \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc740 \uc5f0\uad6c \ub17c\ubb38, \uc0ac\ud68c\uc801 \uc5ec\ub860 \ubd84\uc11d \ub4f1 \ub9ce\uc740 \ubd84\uc57c\uc5d0\uc11c \ud65c\uc6a9\ub420 \uc218 \uc788\uc73c\uba70, \uc55e\uc73c\ub85c\ub3c4 \ub354\uc6b1 \ubc1c\uc804\ud560 \uac83\uc785\ub2c8\ub2e4. \ucc28\ud6c4\uc5d0\ub294 \uc774\ub7ec\ud55c \ubca1\ud130\ub97c \uc774\uc6a9\ud55c \ubd84\ub958 \ubb38\uc81c\ub098 \uac10\uc815 \ubd84\uc11d \uac19\uc740 \ubcf4\ub2e4 \ub2e4\uc591\ud55c \uc751\uc6a9 \uc608\uc81c\ub97c \ub2e4\ub8f0 \uc218 \uc788\ub3c4\ub85d \ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n 7. \ucc38\uace0\uc790\ub8cc<\/h2>\n\nHugging Face Transformers Documentation<\/a><\/li>\n BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding<\/a><\/li>\n PyTorch Documentation<\/a><\/li>\n<\/ul>\n<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"\ub525\ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc758 \ubc1c\uc804\uc73c\ub85c \ub9ce\uc740 \uae30\uc5c5\ub4e4\uc774 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\ub294 \ub2e4\uc591\ud55c \ubc29\ubc95\ub4e4\uc744 \ubaa8\uc0c9\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers)\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc758 \uc758\ubbf8\ub97c \ubcf4\ub2e4 \uae4a\uc774 \uc774\ud574\ud558\ub294 \ub370 \ud601\uc2e0\uc801\uc778 \ubaa8\ub378\ub85c \uc790\ub9ac\uc7a1\uc558\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformers) \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud574 \ubaa8\ub354\ub098\uc640 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 \uad00\ub828 \ud14d\uc2a4\ud2b8\uc5d0\uc11c [CLS] \ubca1\ud130\ub97c \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. 1. BERT \ubaa8\ub378 \uc18c\uac1c BERT\ub294 \uad6c\uae00\uc5d0\uc11c \uac1c\ubc1c\ud55c \uc0ac\uc804 … \ub354 \ubcf4\uae30 “\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubaa8\ub354\ub098 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 BERT [CLS] \ubca1\ud130 \ucd94\ucd9c”<\/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":[30],"tags":[],"class_list":["post-29664","post","type-post","status-publish","format-standard","hentry","category-30"],"yoast_head":"\n\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubaa8\ub354\ub098 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 BERT [CLS] \ubca1\ud130 \ucd94\ucd9c - \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\" href=\"https:\/\/atmokpo.com\/w\/29664\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubaa8\ub354\ub098 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 BERT [CLS] \ubca1\ud130 \ucd94\ucd9c - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ub525\ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc758 \ubc1c\uc804\uc73c\ub85c \ub9ce\uc740 \uae30\uc5c5\ub4e4\uc774 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\ub294 \ub2e4\uc591\ud55c \ubc29\ubc95\ub4e4\uc744 \ubaa8\uc0c9\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers)\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc758 \uc758\ubbf8\ub97c \ubcf4\ub2e4 \uae4a\uc774 \uc774\ud574\ud558\ub294 \ub370 \ud601\uc2e0\uc801\uc778 \ubaa8\ub378\ub85c \uc790\ub9ac\uc7a1\uc558\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformers) \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud574 \ubaa8\ub354\ub098\uc640 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 \uad00\ub828 \ud14d\uc2a4\ud2b8\uc5d0\uc11c [CLS] \ubca1\ud130\ub97c \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. 1. BERT \ubaa8\ub378 \uc18c\uac1c BERT\ub294 \uad6c\uae00\uc5d0\uc11c \uac1c\ubc1c\ud55c \uc0ac\uc804 … \ub354 \ubcf4\uae30 "\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubaa8\ub354\ub098 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 BERT [CLS] \ubca1\ud130 \ucd94\ucd9c"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29664\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T01:55:59+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:51:47+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/29664\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29664\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubaa8\ub354\ub098 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 BERT [CLS] \ubca1\ud130 \ucd94\ucd9c\",\"datePublished\":\"2024-10-28T01:55:59+00:00\",\"dateModified\":\"2024-11-26T06:51:47+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29664\/\"},\"wordCount\":48,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/29664\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29664\/\",\"name\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubaa8\ub354\ub098 \ud654\uc774\uc790 Covid-19 \ubc31\uc2e0 BERT [CLS] \ubca1\ud130 \ucd94\ucd9c - 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