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\uc624\ud1a0\uc778\ucf54\ub354\ub85c \uc0dd\uc131 \ubaa8\ub378\ub9c1","author":"root","date":"2024\ub144 10\uc6d4 27\uc77c","format":false,"excerpt":"\ubcf8 \ube14\ub85c\uadf8 \ud3ec\uc2a4\ud2b8\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uae30\uc220\uc744 \uc774\uc6a9\ud558\uc5ec \uc790\ub3d9 \ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95 \uc911 \ubcc0\ubd84 \uc624\ud1a0\uc778\ucf54\ub354(Variational Autoencoder, VAE) \uae30\ubc18\uc758 \uc0dd\uc131 \ubaa8\ub378\ub9c1\uc744 \uc911\uc810\uc801\uc73c\ub85c \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\ub294 \ud000\ud2b8 \ub9e4\ub9e4\ub97c \uc6d0\ud558\ub294 \ud22c\uc790\uc790, \uac1c\ubc1c\uc790 \ubc0f \ub370\uc774\ud130 \uacfc\ud559\uc790 \ubaa8\ub450\uc5d0\uac8c \uc720\uc6a9\ud560 \uac83\uc785\ub2c8\ub2e4. 1. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \uae30\ucd08 \uba38\uc2e0\ub7ec\ub2dd(Machine Learning)\uc740 \ub370\uc774\ud130\ub85c\ubd80\ud130 \ud559\uc2b5\ud558\uc5ec \ud328\ud134\uc744 \uc778\uc2dd\ud558\uace0 \uc608\uce21\uc744 \uc218\ud589\ud558\ub294 \uc54c\uace0\ub9ac\uc998\uc744 \uac1c\ubc1c\ud558\ub294\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 \ud2b8\ub808\uc774\ub529","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-%ec%9e%90%eb%8f%99-%ed%8a%b8%eb%a0%88%ec%9d%b4%eb%94%a9\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25435,"url":"https:\/\/atmokpo.com\/w\/25435\/","url_meta":{"origin":25477,"position":4},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, KoBERT\ub97c \uc774\uc6a9\ud55c \uae30\uacc4 \ub3c5\ud574","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: 2024\ub144 11\uc6d4 26\uc77c \uc11c\ub860 \ucd5c\uadfc \uba87 \ub144\uac04 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP) \ubd84\uc57c\ub294 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804 \ub355\ubd84\uc5d0 \uadf9\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ub370\uc774\ud130\uc640 \ubcf5\uc7a1\ud55c \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \uae30\uacc4\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0, \uc0dd\uc131\ud558\uba70, \uc751\ub2f5\ud558\ub294 \ub2a5\ub825\uc774 \ud5a5\uc0c1\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, KoBERT\uc640 \uac19\uc740 \ud55c\uad6d\uc5b4 \uae30\ubc18\uc758 \ubcc0\ud615\ub41c BERT \ubaa8\ub378\uc740 \ud55c\uad6d\uc5b4 NLP \ubd84\uc57c\uc5d0\uc11c \ud070 \uc601\ud5a5\ub825\uc744 \ubc1c\ud718\ud558\uace0\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":25269,"url":"https:\/\/atmokpo.com\/w\/25269\/","url_meta":{"origin":25477,"position":5},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud53c\ub4dc \ud3ec\uc6cc\ub4dc \uc2e0\uacbd\ub9dd \uc5b8\uc5b4 \ubaa8\ub378 (Neural Network Language Model, NNLM)","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: 2024\ub144 11\uc6d4 26\uc77c 1. \uc11c\ub860 \ucd5c\uadfc \uba87 \ub144\uac04 \uc778\uacf5\uc9c0\ub2a5 \ubd84\uc57c\uc5d0\uc11c \ub525 \ub7ec\ub2dd(deep learning)\uc758 \ubc1c\uc804\uc740 \ub9e4\uc6b0 \ub208\ubd80\uc2e0 \ubcc0\ud654\uc640 \ud601\uc2e0\uc744 \uac00\uc838\uc654\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd\uc740 \ud2b9\ud788 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP) \ubd84\uc57c\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc73c\uba70, \uadf8\uc5d0 \ub530\ub77c \ub2e4\uc591\ud55c \ubaa8\ub378\ub4e4\uc774 \uac1c\ubc1c\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud53c\ub4dc \ud3ec\uc6cc\ub4dc \uc2e0\uacbd\ub9dd \uc5b8\uc5b4 \ubaa8\ub378(Neural Network Language\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":[]}],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25477","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/comments?post=25477"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25477\/revisions"}],"predecessor-version":[{"id":25478,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25477\/revisions\/25478"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=25477"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=25477"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=25477"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":25477,"date":"2024-10-26T09:55:25","date_gmt":"2024-10-26T09:55:25","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25477"},"modified":"2024-11-26T08:01:38","modified_gmt":"2024-11-26T08:01:38","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-bertopic","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25477\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, BERTopic"},"content":{"rendered":"

<\/p>\n

\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud65c\uc6a9\ud558\ub294 \uae30\uc220\ub85c, \ud604\ub300 AI \uae30\uc220\uc758 \uadfc\ubcf8\uc801\uc778 \ubd80\ubd84\uc744 \ucc28\uc9c0\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \ucd5c\uadfc \ubc31\uadf8\ub77c\uc6b4\ub4dc\uac00 \ub418\ub294 \ub525 \ub7ec\ub2dd(Deep Learning) \uae30\ubc95\uc758 \ubc1c\uc804 \ub355\ubd84\uc5d0 \ubcf4\ub2e4 \uc815\uad50\ud558\uace0 \ub2e4\uc591\ud55c NLP \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\ub4e4\uc774 \uac1c\ubc1c\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 BERTopic\uc774\ub77c\ub294 \uc8fc\uc81c \ubaa8\ub378\ub9c1 \uae30\ubc95\uc744 \uc911\uc2ec\uc73c\ub85c \ud55c NLP\uc758 \uae4a\uc774 \uc788\ub294 \ud65c\uc6a9 \ubc29\uc548\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. \uc8fc\uc81c \ubaa8\ub378\ub9c1\uc758 \uc774\ud574<\/h2>\n

\uc8fc\uc81c \ubaa8\ub378\ub9c1(Topic Modeling)\uc740 \ub300\ub7c9\uc758 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \uc228\uaca8\uc9c4 \uc8fc\uc81c\ub97c \ucd94\ucd9c\ud558\ub294 \uae30\ubc95\uc785\ub2c8\ub2e4. \uc774\ub294 \ub300\uac1c \ube44\uc9c0\ub3c4 \ud559\uc2b5(Unsupervised Learning) \ubc29\uc2dd\uc73c\ub85c \uc9c4\ud589\ub418\uba70, \uac01 \ubb38\uc11c\ubcc4\ub85c \uc5b4\ub5a4 \uc8fc\uc81c\ub4e4\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\ub294\uc9c0\ub97c \ud30c\uc545\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4. \uc8fc\uc81c \ubaa8\ub378\ub9c1\uc758 \ud544\uc694\uc131\uc740 \ud2b9\ud788 \ub2e4\uc74c\uacfc \uac19\uc740 \ubd84\uc57c\uc5d0\uc11c \ub450\ub4dc\ub7ec\uc9d1\ub2c8\ub2e4:<\/p>\n

\ub274\uc2a4 \uae30\uc0ac \ubd84\ub958<\/li>\n
\uc124\ubb38 \uc870\uc0ac \ubc0f \ud53c\ub4dc\ubc31 \ubd84\uc11d<\/li>\n
\uc18c\uc15c \ubbf8\ub514\uc5b4 \ub370\uc774\ud130 \ubd84\uc11d<\/li>\n

\ub300\ud654\ud615 AI\uc640 \ucc57\ubd07\uc758 \uac1c\ubc1c<\/li>\n<\/ul>\n

\uc8fc\uc81c \ubaa8\ub378\ub9c1 \uae30\ubc95 \uc911\uc5d0\uc11c \uac00\uc7a5 \ub110\ub9ac \uc54c\ub824\uc9c4 \ubc29\ubc95\ub4e4\uc5d0\ub294 LDA(Latent Dirichlet Allocation), NMF(Non-negative Matrix Factorization) \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc774\ub4e4\uc740 \ud2b9\uc815 \uac00\uc815\uc744 \uae30\ubc18\uc73c\ub85c \ud558\uae30 \ub54c\ubb38\uc5d0 \ud55c\uacc4\uc810\uc774 \uc874\uc7ac\ud569\ub2c8\ub2e4.<\/p>\n

2. BERTopic\uc758 \ub3c4\uc785<\/h2>\n

BERTopic\uc740 \ucd5c\uc2e0\uc758 \ub525 \ub7ec\ub2dd \uae30\ubc95\uc744 \ud65c\uc6a9\ud558\uc5ec \ubb38\uc11c\uc758 \uc8fc\uc81c\ub97c \ucd94\ucd9c\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc8fc\ub294 \uc8fc\uc81c \ubaa8\ub378\ub9c1 \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 BERT(Bidirectional Encoder Representations from Transformers) \uc784\ubca0\ub529\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8\uc758 \uc758\ubbf8\ub97c \uc774\ud574\ud558\uace0, \ud074\ub7ec\uc2a4\ud130\ub9c1 \uae30\ubc95\uc744 \ud1b5\ud574 \uad00\ub828 \ubb38\uc11c\ub4e4\uc744 \uadf8\ub8f9\ud654\ud569\ub2c8\ub2e4.<\/p>\n

BERTopic\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uc8fc\uc694 \uc7a5\uc810\ub4e4\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4:<\/p>\n

\ub525 \ub7ec\ub2dd \uae30\ubc18 \uc784\ubca0\ub529:<\/strong> BERT\ub294 \ubb38\ub9e5\uc744 \uc774\ud574\ud569\ub2c8\ub2e4. \ub2e8\uc5b4\uc758 \uc758\ubbf8\uac00 \uc8fc\ubcc0 \ub2e8\uc5b4\uc5d0 \ub530\ub77c \ub2ec\ub77c\uc9c8 \uc218 \uc788\uc74c\uc744 \uc798 \ud3ec\ucc29\ud569\ub2c8\ub2e4.<\/li>\n
\ub3d9\uc801\uc778 \uc8fc\uc81c \uc0dd\uc131:<\/strong> BERTopic\uc740 \uc8fc\uc81c\ub97c \ub3d9\uc801\uc73c\ub85c \uc0dd\uc131\ud558\uace0, \uc2dc\uac04\uc758 \ud750\ub984\uc5d0 \ub530\ub77c \uc8fc\uc81c\uac00 \uc5b4\ub5bb\uac8c \ubcc0\ud654\ud558\ub294\uc9c0\ub97c \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n

\ud574\uc11d \uac00\ub2a5\uc131:<\/strong> \uc774 \ubaa8\ub378\uc740 \uac01 \uc8fc\uc81c\ub97c \ub300\ud45c\ud558\ub294 \ud0a4\uc6cc\ub4dc\uc758 \ub9ac\uc2a4\ud2b8\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774\ub807\uac8c \ud568\uc73c\ub85c\uc368 \uc0ac\uc6a9\uc790\ub294 \ubaa8\ub378\uc758 \uacb0\uacfc\ub97c \uc27d\uac8c \uc774\ud574\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
3. BERTopic\uc758 \uad6c\uc131 \uc694\uc18c<\/h2>\n
BERTopic\uc758 \uc791\ub3d9 \ubc29\uc2dd\uc740 \ud06c\uac8c 4\ub2e8\uacc4\ub85c \ub098\ub20c \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n
\ubb38\uc11c \uc784\ubca0\ub529:<\/strong> BERT\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac01 \ubb38\uc11c\ub97c \uace0\ucc28\uc6d0 \ubca1\ud130\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4.<\/li>\n
\ud074\ub7ec\uc2a4\ud130\ub9c1:<\/strong> DBSCAN\uacfc \uac19\uc740 \ud074\ub7ec\uc2a4\ud130\ub9c1 \uc54c\uace0\ub9ac\uc998\uc744 \ud1b5\ud574 \uc720\uc0ac\ud55c \ubb38\uc11c\ub4e4\uc744 \uadf8\ub8f9\ud654\ud569\ub2c8\ub2e4.<\/li>\n
\uc8fc\uc81c \ucd94\ucd9c:<\/strong> \uac01 \ud074\ub7ec\uc2a4\ud130\uc5d0 \ub300\ud574 \ub300\ud45c \ud0a4\uc6cc\ub4dc\ub97c \ucd94\ucd9c\ud558\uc5ec \uc8fc\uc81c\ub97c \ud615\uc131\ud569\ub2c8\ub2e4.<\/li>\n
\uc8fc\uc81c \ud45c\uc2dc:<\/strong> \uc8fc\uc81c\uc5d0 \ud574\ub2f9\ud558\ub294 \ubb38\uc11c\ub4e4\uc744 \uc2dc\uac01\ud654\ud558\uac70\ub098, \ub2e4\ub978 \ubd84\uc11d\uc744 \ud1b5\ud574 \uacb0\uacfc\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n
4. BERTopic \uc124\uce58 \ubc0f \uc0ac\uc6a9<\/h2>\n
BERTopic\uc740 Python \ud658\uacbd\uc5d0\uc11c \uc190\uc27d\uac8c \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uc124\uce58 \ubc29\ubc95\uc785\ub2c8\ub2e4:<\/p>\n
pip install bertopic<\/code><\/pre>\n\uc774\uc81c BERTopic\uc744 \uc0ac\uc6a9\ud55c \uae30\ubcf8\uc801\uc778 \uc608\uc81c\ub97c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n 4.1 \uae30\ubcf8 \uc608\uc81c<\/h3>\nfrom bertopic import BERTopic\nimport pandas as pd\n\n# \uc0d8\ud50c \ub370\uc774\ud130\ndocuments = [\n \"\ub525 \ub7ec\ub2dd\uc740 \ub9e4\uc6b0 \ud765\ubbf8\ub85c\uc6b4 \ubd84\uc57c\uc785\ub2c8\ub2e4.\",\n \"\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4.\",\n \"BERTopic\uc744 \uc0ac\uc6a9\ud558\ub294 \uc8fc\uc81c \ubaa8\ub378\ub9c1\uc758 \uc608\ub97c \ubcf4\uc5ec\ub4dc\ub9bd\ub2c8\ub2e4.\",\n]\n\n# BERTopic \ubaa8\ub378 \uc0dd\uc131\ntopic_model = BERTopic()\ntopics, _ = topic_model.fit_transform(documents)\n\n# \uc8fc\uc81c \ucd9c\ub825\nprint(topic_model.get_topic_info())<\/code><\/pre>\n\uc704 \uc608\uc81c\uc5d0\uc11c\ub294 \uac04\ub2e8\ud55c \uc0d8\ud50c \ubb38\uc11c\ub97c \uc0ac\uc6a9\ud558\uc5ec BERTopic \ubaa8\ub378\uc744 \uc0dd\uc131\ud558\uace0, \uc8fc\uc81c \uc815\ubcf4\ub97c \ucd9c\ub825\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \ucd9c\ub825\ub41c \uc815\ubcf4\uc5d0\ub294 \uc8fc\uc81c \ubc88\ud638, \ud14d\uc2a4\ud2b8\uc758 \uc218, \uc8fc\uc81c\uc758 \ub300\ud45c \ub2e8\uc5b4 \ub4f1\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/p>\n 5. BERTopic\uc758 \uace0\uae09 \ud65c\uc6a9<\/h2>\nBERTopic\uc740 \ub2e8\uc21c\ud55c \uc8fc\uc81c \ubaa8\ub378\ub9c1\uc744 \ub118\uc5b4 \ub2e4\uc591\ud55c \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc8fc\uc81c \uac04\uc758 \uad00\uacc4\ub97c \uc2dc\uac01\ud654\ud558\uac70\ub098, \uc2dc\uac04\uc5d0 \ub530\ub978 \uc8fc\uc81c \ubcc0\ud654\ub97c \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n 5.1 \uc8fc\uc81c \uc2dc\uac01\ud654<\/h3>\n\uac01 \uc8fc\uc81c\ub97c \uc2dc\uac01\uc801\uc73c\ub85c \ud45c\ud604\ud558\uae30 \uc704\ud574 `visualize_topics` \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ucea1\uc158\uacfc \ud568\uaed8 \uac01 \uc8fc\uc81c\ub97c 2D \uacf5\uac04\uc5d0 \ubc30\uce58\ud558\uc5ec \uc0ac\uc6a9\uc790\uc5d0\uac8c \uc758\ubbf8\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n fig = topic_model.visualize_topics()\nfig.show()<\/code><\/pre>\n5.2 \uc2dc\uac04\uc5d0 \ub530\ub978 \uc8fc\uc81c \ubcc0\ud654 \ubd84\uc11d<\/h3>\n\uc2dc\uac04 \uae30\ubc18\uc758 \ub370\uc774\ud130\uac00 \uc788\ub2e4\uba74, BERTopic\uc744 \ud1b5\ud574 \uc8fc\uc81c\uac00 \uc2dc\uac04\uc5d0 \ub530\ub77c \uc5b4\ub5bb\uac8c \ubcc0\ud654\ud558\ub294\uc9c0\ub97c \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \uc704\ud574 \uac01 \ubb38\uc11c\uc5d0 \ud0c0\uc784\uc2a4\ud0ec\ud504\ub97c \ucd94\uac00\ud558\uace0, \uc8fc\uc81c\ub97c \uc2dc\uac04 \ucd95\uc5d0 \ub9de\ucdb0 \uc2dc\uac01\ud654\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/p>\n # \uc2dc\uac04 \ub370\uc774\ud130 \uc608\ndates = [\"2021-08-01\", \"2021-08-02\", \"2021-08-03\"]\ndocs_with_dates = pd.DataFrame({\"date\": dates, \"document\": documents})\n\n# \uc2dc\uac04\uc5d0 \ub530\ub978 \uc8fc\uc81c \uc2dc\uac01\ud654\ntopic_model = BERTopic()\ntopics, probs = topic_model.fit_transform(docs_with_dates['document'])\ntopic_model.visualize_topics_over_time(docs_with_dates['date'])<\/code><\/pre>\n6. BERTopic\uc758 \ud55c\uacc4\uc640 \ubc1c\uc804 \ubc29\ud5a5<\/h2>\nBERTopic\uc740 \uac15\ub825\ud55c \uc8fc\uc81c \ubaa8\ub378\ub9c1 \ub3c4\uad6c\uc778 \ub9cc\ud07c \uba87 \uac00\uc9c0 \ud55c\uacc4\ub3c4 \uc874\uc7ac\ud569\ub2c8\ub2e4. \uba3c\uc800, BERT \ubaa8\ub378\uc740 \uc0c1\ub2f9\ud55c \uc591\uc758 \uacc4\uc0b0 \uc790\uc6d0\uc744 \uc694\uad6c\ud558\ubbc0\ub85c \ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc14b\uc5d0\uc11c\ub294 \ucc98\ub9ac \uc18d\ub3c4\uac00 \ub290\ub824\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub610\ud55c, \ub2e4\uc591\ud55c \uc5b8\uc5b4\ub97c \uc9c0\uc6d0\ud558\uae30 \uc704\ud574\uc11c\ub294 \ud574\ub2f9 \uc5b8\uc5b4\uc5d0 \ub9de\ub294 \uc0ac\uc804 \ud6c8\ub828\ub41c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4.<\/p>\n \ub354\uc6b1\uc774, \uc8fc\uc81c \ubaa8\ub378\ub9c1\uc758 \uacb0\uacfc\ub294 \ud56d\uc0c1 \ud574\uc11d \uac00\ub2a5\ud574\uc57c \ud558\uba70, \uc0ac\uc6a9\uc790\uc5d0\uac8c \uc2e4\uc9c8\uc801\uc778 \ud1b5\ucc30\ub825\uc744 \uc81c\uacf5\ud560 \uc218 \uc788\uc5b4\uc57c \ud569\ub2c8\ub2e4. \ub530\ub77c\uc11c \ubaa8\ub378\uc758 \ud574\uc11d \uac00\ub2a5\uc131\uc744 \ub192\uc774\ub294 \ubc29\ud5a5\uc73c\ub85c\uc758 \uc5f0\uad6c\uc640 \uac1c\ubc1c\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n 7. \uacb0\ub860<\/h2>\nBERTopic\uc740 \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \uac15\ub825\ud55c \uc8fc\uc81c \ubaa8\ub378\ub9c1 \ub3c4\uad6c\ub85c, \ucd5c\uc2e0 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\uc220\uc758 \uc774\uc810\uc744 \ucd5c\ub300\ud55c \ud65c\uc6a9\ud560 \uc218 \uc788\uac8c \ud574\uc90d\ub2c8\ub2e4. \uc774\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0, \uc228\uaca8\uc9c4 \ud328\ud134\uc744 \ubc1c\uacac\ud558\ub294 \ub370 \ub9e4\uc6b0 \uc720\uc6a9\ud569\ub2c8\ub2e4. \uc55e\uc73c\ub85c\ub3c4 BERTopic\uacfc \uac19\uc740 \ub3c4\uad6c\ub4e4\uc744 \ud1b5\ud574 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc758 \ubc1c\uc804\uc744 \uae30\ub300\ud574\ubd05\ub2c8\ub2e4.<\/p>\n <\/body><\/p>\n","protected":false},"excerpt":{"rendered":" \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud65c\uc6a9\ud558\ub294 \uae30\uc220\ub85c, \ud604\ub300 AI \uae30\uc220\uc758 \uadfc\ubcf8\uc801\uc778 \ubd80\ubd84\uc744 \ucc28\uc9c0\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \ucd5c\uadfc \ubc31\uadf8\ub77c\uc6b4\ub4dc\uac00 \ub418\ub294 \ub525 \ub7ec\ub2dd(Deep Learning) \uae30\ubc95\uc758 \ubc1c\uc804 \ub355\ubd84\uc5d0 \ubcf4\ub2e4 \uc815\uad50\ud558\uace0 \ub2e4\uc591\ud55c NLP \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\ub4e4\uc774 \uac1c\ubc1c\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 BERTopic\uc774\ub77c\ub294 \uc8fc\uc81c \ubaa8\ub378\ub9c1 \uae30\ubc95\uc744 \uc911\uc2ec\uc73c\ub85c \ud55c NLP\uc758 \uae4a\uc774 \uc788\ub294 \ud65c\uc6a9 \ubc29\uc548\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc8fc\uc81c \ubaa8\ub378\ub9c1\uc758 \uc774\ud574 \uc8fc\uc81c … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, BERTopic”<\/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-25477","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, BERTopic - \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\/25477\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, BERTopic - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud65c\uc6a9\ud558\ub294 \uae30\uc220\ub85c, \ud604\ub300 AI \uae30\uc220\uc758 \uadfc\ubcf8\uc801\uc778 \ubd80\ubd84\uc744 \ucc28\uc9c0\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \ucd5c\uadfc \ubc31\uadf8\ub77c\uc6b4\ub4dc\uac00 \ub418\ub294 \ub525 \ub7ec\ub2dd(Deep Learning) \uae30\ubc95\uc758 \ubc1c\uc804 \ub355\ubd84\uc5d0 \ubcf4\ub2e4 \uc815\uad50\ud558\uace0 \ub2e4\uc591\ud55c NLP \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\ub4e4\uc774 \uac1c\ubc1c\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 BERTopic\uc774\ub77c\ub294 \uc8fc\uc81c \ubaa8\ub378\ub9c1 \uae30\ubc95\uc744 \uc911\uc2ec\uc73c\ub85c \ud55c NLP\uc758 \uae4a\uc774 \uc788\ub294 \ud65c\uc6a9 \ubc29\uc548\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc8fc\uc81c \ubaa8\ub378\ub9c1\uc758 \uc774\ud574 \uc8fc\uc81c … \ub354 \ubcf4\uae30 "\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, BERTopic"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/25477\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-26T09:55:25+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T08:01:38+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 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