\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4(Vector Similarity) - \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\/25223\/\" \/>\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\uc640 \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4(Vector Similarity) - \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\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud558\ub294 \uae30\uc220\ub85c, \ud604\uc7ac \uc778\uacf5\uc9c0\ub2a5(AI) \ubd84\uc57c\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \ub525 \ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\uc804\uc73c\ub85c \uc778\ud574 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc131\ub2a5\uc774 \ud68d\uae30\uc801\uc73c\ub85c \ud5a5\uc0c1\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\uc694\uc640 \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4 \uac1c\ub150\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc758 \uc774\ud574 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ubb38\uc11c \ubd84\ub958, \uac10\uc815 \ubd84\uc11d, \uae30\uacc4 … \ub354 \ubcf4\uae30 "\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4(Vector Similarity)"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/25223\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-26T09:53:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T08:02:29+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\/25223\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/25223\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4(Vector Similarity)\",\"datePublished\":\"2024-10-26T09:53:07+00:00\",\"dateModified\":\"2024-11-26T08:02:29+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/25223\/\"},\"wordCount\":111,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/25223\/\",\"url\":\"https:\/\/atmokpo.com\/w\/25223\/\",\"name\":\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4(Vector Similarity) - 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{"id":25223,"date":"2024-10-26T09:53:07","date_gmt":"2024-10-26T09:53:07","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25223"},"modified":"2024-11-26T08:02:29","modified_gmt":"2024-11-26T08:02:29","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%ec%99%80-%eb%b2%a1%ed%84%b0%ec%9d%98-%ec%9c%a0%ec%82%ac%eb%8f%84vector-similarity","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25223\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4(Vector Similarity)"},"content":{"rendered":"

<\/p>\n

\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud558\ub294 \uae30\uc220\ub85c, \ud604\uc7ac \uc778\uacf5\uc9c0\ub2a5(AI) \ubd84\uc57c\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \ub525 \ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\uc804\uc73c\ub85c \uc778\ud574 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc131\ub2a5\uc774 \ud68d\uae30\uc801\uc73c\ub85c \ud5a5\uc0c1\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\uc694\uc640 \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4 \uac1c\ub150\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc758 \uc774\ud574<\/h2>\n
\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ubb38\uc11c \ubd84\ub958, \uac10\uc815 \ubd84\uc11d, \uae30\uacc4 \ubc88\uc5ed \ub4f1 \ub2e4\uc591\ud55c \uc751\uc6a9 \ubd84\uc57c\ub97c \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc804\ud1b5\uc801\uc778 \ubc29\ubc95\ub860\uc740 \uaddc\uce59 \uae30\ubc18\uc758 \uc811\uadfc \ubc29\uc2dd\uc774\uc5c8\uc73c\ub098, \ucd5c\uadfc\uc5d0\ub294 \ub370\uc774\ud130 \uae30\ubc18\uc758 \uc54c\uace0\ub9ac\uc998\uc774 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

1.1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc8fc\uc694 \uae30\uc220<\/h3>\n
\n
\ud1a0\ud070\ud654(Tokenization): \ubb38\uc7a5\uc744 \ub2e8\uc5b4 \ud639\uc740 \uad6c\ub85c \ub098\ub204\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4.<\/li>\n
\ud488\uc0ac \ud0dc\uae45(Pos Tagging): \uac01 \ub2e8\uc5b4\uc5d0 \ud488\uc0ac\ub97c \ubd80\uc5ec\ud569\ub2c8\ub2e4.<\/li>\n
\uad6c\ubb38 \ubd84\uc11d(Syntax Parsing): \ubb38\uc7a5\uc758 \uad6c\uc870\ub97c \ubd84\uc11d\ud558\uc5ec \ubb38\ubc95\uc801 \uad00\uacc4\ub97c \uacb0\uc815\ud569\ub2c8\ub2e4.<\/li>\n
\uc758\ubbf8 \ubd84\uc11d(Semantic Analysis): \ubb38\uc7a5\uc758 \uc758\ubbf8\ub97c \uc774\ud574\ud569\ub2c8\ub2e4.<\/li>\n
\uac10\uc815 \ubd84\uc11d(Sentiment Analysis): \ubb38\uc11c\uc758 \uac10\uc815\uc744 \ud310\ub2e8\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
1.2. \ub525 \ub7ec\ub2dd\uc758 \ub3c4\uc785<\/h3>\n
\ub525 \ub7ec\ub2dd\uc740 \uc2e0\uacbd\ub9dd \uae30\ubc18\uc758 \uae30\uacc4 \ud559\uc2b5 \uc54c\uace0\ub9ac\uc998\uc73c\ub85c, \ub300\uaddc\ubaa8 \ub370\uc774\ud130\ub85c\ubd80\ud130 \uc790\ub3d9\uc73c\ub85c \ud2b9\uc9d5\uc744 \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c \ub525 \ub7ec\ub2dd\uc758 \ub3c4\uc785\uc740 \uc804\ud1b5\uc801\uc778 \ubc29\ubc95\ub860 \ub300\ube44 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc8fc\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
2. \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4(Vector Similarity)<\/h2>\n
\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ub2e8\uc5b4\ub294 \uace0\ucc28\uc6d0 \ubca1\ud130\ub85c \ubcc0\ud658\ub429\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubcc0\ud658\uc744 \ud1b5\ud574 \ub2e8\uc5b4 \uac04 \uc720\uc0ac\ub3c4\ub97c \uce21\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4\ub97c \uce21\uc815\ud558\ub294 \ub2e4\uc591\ud55c \ubc29\ubc95\ub4e4\uc774 \uc788\uc73c\uba70, \uac01\uac01\uc758 \uc7a5\ub2e8\uc810\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
2.1. \ubca1\ud130 \ud45c\ud604\ubc95<\/h3>\n
\ub2e8\uc5b4\ub97c \ubca1\ud130\ub85c \ud45c\ud604\ud558\ub294 \ubc29\ubc95\uc5d0\ub294 \uc5ec\ub7ec \uac00\uc9c0\uac00 \uc788\uc73c\uba70, \ub300\ud45c\uc801\uc778 \ubc29\ubc95\uc73c\ub85c\ub294 \uc6d0-\ud56b \uc778\ucf54\ub529(One-hot Encoding), TF-IDF, Word2Vec, GloVe \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\uc6d0-\ud56b \uc778\ucf54\ub529(One-hot Encoding)<\/h4>\n
\uac01 \ub2e8\uc5b4\ub97c \uace0\uc720\ud55c \uc778\ub371\uc2a4\ub97c \ubd80\uc5ec\ud558\uace0, \ud574\ub2f9\ud558\ub294 \uc778\ub371\uc2a4\uc758 \uc704\uce58\uc5d0 1\uc744 \ubd80\uc5ec\ud558\uba70 \ub098\uba38\uc9c0\ub294 0\uc774 \ub418\ub294 \ubca1\ud130\ub85c \ud45c\ud604\ud569\ub2c8\ub2e4. \uc774 \ubc29\ubc95\uc740 \uc9c1\uad00\uc801\uc774\uc9c0\ub9cc, \ub2e8\uc5b4 \uac04\uc758 \uc720\uc0ac\uc131\uc744 \ubc18\uc601\ud558\uc9c0 \ubabb\ud558\ub294 \ub2e8\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
TF-IDF(Term Frequency-Inverse Document Frequency)<\/h4>\n
TF-IDF\ub294 \ud2b9\uc815 \ubb38\uc11c\uc5d0\uc11c \ub2e8\uc5b4\uc758 \uc911\uc694\ub3c4\ub97c \ub098\ud0c0\ub0b4\ub294 \uc9c0\ud45c\ub85c, \ubb38\uc11c \ub0b4\uc5d0\uc11c \uc790\uc8fc \ub4f1\uc7a5\ud558\uace0 \ub2e4\ub978 \ubb38\uc11c\uc5d0\uc11c \ub4dc\ubb3c\uac8c \ub4f1\uc7a5\ud558\ub294 \ub2e8\uc5b4\uc77c\uc218\ub85d \ub192\uc740 \uac12\uc744 \uac00\uc9d1\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \uc774 \uc5ed\uc2dc \uc720\uc0ac\uc131\uc744 \uc644\ubcbd\ud558\uac8c \ubc18\uc601\ud558\uc9c4 \ubabb\ud569\ub2c8\ub2e4.<\/p>\n
Word2Vec<\/h4>\n
Word2Vec\uc740 \ub2e8\uc5b4\ub97c \ubca1\ud130 \uacf5\uac04\uc5d0 \ub9e4\ud551\ud558\uc5ec \ub2e8\uc5b4 \uac04\uc758 \uc758\ubbf8\uc801 \uc720\uc0ac\uc131\uc744 \ud559\uc2b5\ud558\ub294 \ubaa8\ub378\ub85c, Continuous Bag of Words(CBOW)\uc640 Skip-Gram\uc758 \ub450 \uac00\uc9c0 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc774 \ubc29\ubc95\uc740 \ub2e8\uc5b4 \uac04\uc758 \uad00\uacc4\ub97c \uc798 \ubc18\uc601\ud560 \uc218 \uc788\uc5b4 \ub9e4\uc6b0 \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n
GloVe(Global Vectors for Word Representation)<\/h4>\n
GloVe\ub294 \ub2e8\uc5b4 \uac04\uc758 \ud1b5\uacc4\uc801 \uc815\ubcf4\ub97c \uc774\uc6a9\ud558\uc5ec \ubca1\ud130\ub97c \ud559\uc2b5\ud569\ub2c8\ub2e4. \ub2e8\uc5b4\ub4e4\uc774 \ub4f1\uc7a5\ud558\ub294 \ud655\ub960\uc744 \uc774\uc6a9\ud558\uc5ec \ub2e8\uc5b4 \ubca1\ud130\ub97c \uc0dd\uc131\ud558\uba70, \uc774\ub85c \uc778\ud574 \ub2e8\uc5b4 \uac04\uc758 \uac70\ub9ac\ub85c \uc758\ubbf8\ub97c \ub300\ubcc0\ud569\ub2c8\ub2e4.<\/p>\n
2.2. \uc720\uc0ac\ub3c4 \uce21\uc815 \ubc29\ubc95<\/h3>\n
\ub2e8\uc5b4 \ubca1\ud130 \uac04\uc758 \uc720\uc0ac\ub3c4\ub97c \uce21\uc815\ud558\uae30 \uc704\ud574 \uc5ec\ub7ec \ubc29\ubc95\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uac00\uc7a5 \ub9ce\uc774 \uc0ac\uc6a9\ub418\ub294 \ubc29\ubc95\uc5d0\ub294 \ucf54\uc0ac\uc778 \uc720\uc0ac\ub3c4(Cosine Similarity), \uc720\ud074\ub9ac\ub4dc \uac70\ub9ac(Euclidean Distance), \uc790\uce74\ub4dc \uc720\uc0ac\ub3c4(Jaccard Similarity) \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\ucf54\uc0ac\uc778 \uc720\uc0ac\ub3c4 (Cosine Similarity)<\/h4>\n
\ucf54\uc0ac\uc778 \uc720\uc0ac\ub3c4\ub294 \ub450 \ubca1\ud130 \uac04\uc758 \uac01\ub3c4\ub97c \uae30\ubc18\uc73c\ub85c \uc720\uc0ac\ub3c4\ub97c \uce21\uc815\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ub450 \ubca1\ud130\uc758 \ub0b4\uc801\uc744 \uac01 \ubca1\ud130\uc758 \ud06c\uae30\ub85c \ub098\ub204\uc5b4 \uacc4\uc0b0\ud569\ub2c8\ub2e4. \uc774 \uac12\uc774 \ud074\uc218\ub85d \ub450 \ubca1\ud130\uc758 \ubc29\ud5a5\uc774 \uc720\uc0ac\ud558\ub2e4\ub294 \uac83\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/p>\n
\uc720\ud074\ub9ac\ub4dc \uac70\ub9ac (Euclidean Distance)<\/h4>\n
\uc720\ud074\ub9ac\ub4dc \uac70\ub9ac\ub294 \ub450 \uc810 \uac04\uc758 \uc9c1\uc120 \uac70\ub9ac\ub97c \uce21\uc815\ud558\ub294 \ubc29\ubc95\uc73c\ub85c, \uc8fc\ub85c \ubca1\ud130 \uacf5\uac04\uc5d0\uc11c \ub450 \ubca1\ud130 \uac04\uc758 \uac70\ub9ac\ub97c \uc9c1\uc811 \uce21\uc815\ud569\ub2c8\ub2e4. \uac70\ub9ac\uac00 \uc9e7\uc744\uc218\ub85d \uc720\uc0ac\ud558\ub2e4\uace0 \ud310\ub2e8\ud569\ub2c8\ub2e4.<\/p>\n
\uc790\uce74\ub4dc \uc720\uc0ac\ub3c4 (Jaccard Similarity)<\/h4>\n
\uc790\uce74\ub4dc \uc720\uc0ac\ub3c4\ub294 \ub450 \uc9d1\ud569 \uac04\uc758 \uad50\uc9d1\ud569\uacfc \ud569\uc9d1\ud569\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc720\uc0ac\ub3c4\ub97c \uce21\uc815\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ub450 \ubca1\ud130\uc758 \uacf5\ud1b5 \uc694\uc18c\ub97c \uace0\ub824\ud558\uc5ec \uc720\uc0ac\uc131\uc744 \uce21\uc815\ud569\ub2c8\ub2e4.<\/p>\n
3. \ub525 \ub7ec\ub2dd\uc744 \ud1b5\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c\uc758 \uc751\uc6a9<\/h2>\n
\ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4\ub97c \uc801\uc6a9\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc591\ud569\ub2c8\ub2e4. \ubcf8 \uc139\uc158\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc8fc\uc694 \uc751\uc6a9 \uc0ac\ub840\ub97c \ub2e4\ub8f9\ub2c8\ub2e4.<\/p>\n
3.1. \ubb38\uc11c \ubd84\ub958<\/h3>\n
\ubb38\uc11c \ubd84\ub958\ub294 \uc8fc\uc5b4\uc9c4 \ubb38\uc11c\ub97c \uc0ac\uc804\uc5d0 \uc815\uc758\ub41c \uce74\ud14c\uace0\ub9ac\uc5d0 \ud560\ub2f9\ud558\ub294 \uc791\uc5c5\uc73c\ub85c, \ubca1\ud130 \uc720\uc0ac\ub3c4\ub97c \ud65c\uc6a9\ud558\uc5ec \uc720\uc0ac \ubb38\uc11c \uadf8\ub8f9\uc744 \uc2dd\ubcc4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub300\ud45c\uc801\uc73c\ub85c \ub274\uc2a4 \uae30\uc0ac\ub97c \uce74\ud14c\uace0\ub9ac\ubcc4\ub85c \ubd84\ub958\ud558\ub294 \uc791\uc5c5\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
3.2. \ucd94\ucc9c \uc2dc\uc2a4\ud15c<\/h3>\n
\ucd94\ucc9c \uc2dc\uc2a4\ud15c\uc5d0\uc11c \uc0ac\uc6a9\uc790\uc640 \uc544\uc774\ud15c\uc744 \ubca1\ud130\ub85c \ud45c\ud604\ud558\uace0, \uc720\uc0ac\ub3c4\ub97c \uae30\ubc18\uc73c\ub85c \uac1c\uc778\ud654\ub41c \ucd94\ucc9c\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc0ac\uc6a9\uc790\uac00 \uc88b\uc544\ud558\ub294 \uc601\ud654\uc640 \uc720\uc0ac\ud55c \uc601\ud654\ub97c \ucd94\ucc9c\ud558\ub294 \uc2dc\uc2a4\ud15c\uc774 \uc774\uc5d0 \ud574\ub2f9\ud569\ub2c8\ub2e4.<\/p>\n
3.3. \uae30\uacc4 \ubc88\uc5ed<\/h3>\n
\uae30\uacc4 \ubc88\uc5ed\uc5d0\uc11c\ub294 \uc6d0\ubb38\uacfc \ubc88\uc5ed\ubb38\uc744 \ubca1\ud130\ub85c \ub9e4\ud551\ud558\uace0, \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4\ub97c \ud65c\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8 \uac04\uc758 \uc758\ubbf8\uc801 \uc77c\uce58\ub97c \ud310\ubcc4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c Transformer\uc640 \uac19\uc740 \ubaa8\ub378\uc774 \ud2b9\ud788 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/p>\n
4. \uacb0\ub860<\/h2>\n
\ub525 \ub7ec\ub2dd\uc744 \ud1b5\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\uc220\uc740 \ub370\uc774\ud130 \uae30\ubc18\uc758 \uc811\uadfc \ubc29\uc2dd\uc744 \ud1b5\ud574 \ub9ce\uc740 \uc601\uc5ed\uc5d0\uc11c \ud601\uc2e0\uc744 \uac00\uc838\uc654\uc2b5\ub2c8\ub2e4. \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4 \uac1c\ub150\uc744 \ud65c\uc6a9\ud558\uc5ec \uc790\uc5f0\uc5b4\uc758 \ubcf5\uc7a1\ud55c \uc758\ubbf8\ub97c \ud3ec\ucc29\ud558\uace0, \ub2e4\uc591\ud55c \uc751\uc6a9 \ubd84\uc57c\uc5d0 \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c\uc758 \uc5f0\uad6c\uc640 \ubc1c\uc804\uc744 \ud1b5\ud574 \ub354 \ub098\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\uc220\uc774 \ub4f1\uc7a5\ud560 \uac83\uc73c\ub85c \uae30\ub300\ub429\ub2c8\ub2e4.<\/p>\n
5. \ucc38\uace0 \ubb38\ud5cc<\/h2>\n
\n
Goldberg, Y. (2016). Neural Network Methods in Natural Language Processing<\/i>. Morgan & Claypool.<\/li>\n
Yang, Y., & Huang, R. (2018). “A Comprehensive Review on Multi-View Representation Learning”. IEEE Transactions on Knowledge and Data Engineering<\/i>.<\/li>\n
Vaswani, A., et al. (2017). “Attention is All You Need”. Advances in Neural Information Processing Systems<\/i>.<\/li>\n<\/ul>\n
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\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud558\ub294 \uae30\uc220\ub85c, \ud604\uc7ac \uc778\uacf5\uc9c0\ub2a5(AI) \ubd84\uc57c\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \ub525 \ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\uc804\uc73c\ub85c \uc778\ud574 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc131\ub2a5\uc774 \ud68d\uae30\uc801\uc73c\ub85c \ud5a5\uc0c1\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\uc694\uc640 \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4 \uac1c\ub150\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc758 \uc774\ud574 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ubb38\uc11c \ubd84\ub958, \uac10\uc815 \ubd84\uc11d, \uae30\uacc4 … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4(Vector Similarity)”<\/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-25223","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\uc640 \ubca1\ud130\uc758 \uc720\uc0ac\ub3c4(Vector Similarity) - 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