{"id":25187,"date":"2024-10-26T09:52:52","date_gmt":"2024-10-26T09:52:52","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25187"},"modified":"2024-11-26T08:02:35","modified_gmt":"2024-11-26T08:02:35","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%9b%90-%ed%95%ab-%ec%9d%b8%ec%bd%94%eb%94%a9one-hot-encoding","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25187\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc6d0-\ud56b \uc778\ucf54\ub529(One-Hot Encoding)"},"content":{"rendered":"<p><body><\/p>\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \uae30\uc220\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144\uac04 \ub525 \ub7ec\ub2dd\uc774 NLP \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc744 \uc774\ub904\ub0b8 \uac00\uc6b4\ub370, \uc6d0-\ud56b \uc778\ucf54\ub529(One-Hot Encoding)\uc774\ub77c\ub294 \uae30\ubc95\uc774 \uc774 \uacfc\uc815\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \uc6d0-\ud56b \uc778\ucf54\ub529\uc758 \uac1c\ub150, \uad6c\ud604 \ubc29\ubc95, \uadf8\ub9ac\uace0 \ub525 \ub7ec\ub2dd\uacfc\uc758 \uad00\uacc4\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \uc6d0-\ud56b \uc778\ucf54\ub529(One-Hot Encoding)\ub780?<\/h2>\n<p>\uc6d0-\ud56b \uc778\ucf54\ub529\uc740 \ubc94\uc8fc\ud615 \ub370\uc774\ud130\ub97c \ucef4\ud4e8\ud130\uac00 \ucc98\ub9ac\ud560 \uc218 \uc788\ub294 \uc218\uce58 \ub370\uc774\ud130\ub85c \ubcc0\ud658\ud558\ub294 \uae30\ubc95\uc785\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uba38\uc2e0 \ub7ec\ub2dd \ubc0f \ub525 \ub7ec\ub2dd\uc5d0\uc11c\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc22b\uc790\ub85c \ud45c\ud604\ud574\uc57c \ud558\uba70, \uc774 \ub54c \uc6d0-\ud56b \uc778\ucf54\ub529\uc774 \uc720\uc6a9\ud558\uac8c \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<p>\uc6d0-\ud56b \uc778\ucf54\ub529\uc758 \uae30\ubcf8 \uac1c\ub150\uc740 \uac01 \ubc94\uc8fc\ub97c \uace0\uc720\ud55c \ubca1\ud130\ub85c \ud45c\ud604\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, &#8216;\uc0ac\uc790&#8217;, &#8216;\ud638\ub791\uc774&#8217;, &#8216;\uacf0&#8217;\uc774\ub77c\ub294 \uc138 \uac1c\uc758 \ub3d9\ubb3c \uce74\ud14c\uace0\ub9ac\uac00 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubd05\uc2dc\ub2e4. \uc774\ub4e4\uc740 \ub2e4\uc74c\uacfc \uac19\uc774 \uc6d0-\ud56b \uc778\ucf54\ub529 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<div class=\"example\">\n<p>\uc0ac\uc790: [1, 0, 0]<\/p>\n<p>\ud638\ub791\uc774: [0, 1, 0]<\/p>\n<p>\uacf0: [0, 0, 1]<\/p>\n<\/div>\n<p>\uc774 \uc608\uc2dc\uc5d0\uc11c \uac01 \ub3d9\ubb3c\uc740 3\ucc28\uc6d0 \uacf5\uac04\uc758 \ud55c \uc810\uc73c\ub85c \ud45c\uc2dc\ub418\uba70, \uc774 \uc810\ub4e4\uc740 \uc11c\ub85c \ub3c5\ub9bd\uc801\uc785\ub2c8\ub2e4. \uc6d0-\ud56b \uc778\ucf54\ub529\uc740 \uba38\uc2e0 \ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uc774 \uac01 \ubc94\uc8fc \uac04\uc758 \uad00\uacc4\ub97c \ub354 \uc798 \uc774\ud574\ud560 \uc218 \uc788\ub3c4\ub85d \ud574\uc90d\ub2c8\ub2e4.<\/p>\n<h2>2. \uc6d0-\ud56b \uc778\ucf54\ub529\uc758 \ud544\uc694\uc131<\/h2>\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c\ub294 \ub2e8\uc5b4\ub97c \ubca1\ud130 \ud615\ud0dc\ub85c \ud45c\ud604\ud574\uc57c \ud569\ub2c8\ub2e4. \uc804\ud1b5\uc801\uc778 \ubc29\ubc95\uc778 TF-IDF\ub098 \uce74\uc6b4\ud2b8 \ubca1\ud130\ud654\ub294 \uac01 \ub2e8\uc5b4\uc758 \uc911\uc694\ub3c4\ub97c \ud3c9\uac00\ud560 \uc218 \uc788\uac8c \ud574\uc8fc\uc9c0\ub9cc, \uc6d0-\ud56b \uc778\ucf54\ub529\uc740 \uac01 \ub2e8\uc5b4\ub97c \ub3c5\ub9bd\uc801\uc778 \ubca1\ud130 \uacf5\uac04\uc5d0 \uc704\uce58\uc2dc\ud0a4\uae30 \ub54c\ubb38\uc5d0 \ub2e8\uc5b4 \uac04\uc758 \uc720\uc0ac\uc131\uc744 \ud30c\uc545\ud558\uae30 \ubcf4\ub2e4 \ub2e8\uc5b4 \uc790\uccb4\uc758 \uc720\uc77c\uc131\uc744 \ubcf4\uc7a5\ud569\ub2c8\ub2e4. \uc774\ub294 \ub525 \ub7ec\ub2dd \ubaa8\ub378\uc774 \ub2e8\uc5b4\ub97c \uc774\ud574\ud558\ub294 \ub370 \ud070 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.<\/p>\n<h3>2.1. \ubb38\ub9e5\uc758 \uac04\uacfc<\/h3>\n<p>\uc6d0-\ud56b \uc778\ucf54\ub529\uc740 \ub2e8\uc5b4 \uac04\uc758 \uc720\uc0ac\uc131\uc774\ub098 \uad00\uacc4\ub97c \ubc18\uc601\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4. \uc989, &#8216;\uace0\uc591\uc774&#8217;\uc640 &#8216;\ud638\ub791\uc774&#8217;\ub294 \ub458 \ub2e4 &#8216;\uace0\uc591\uc774\uacfc&#8217;\uc5d0 \uc18d\ud558\ub294 \ub3d9\ubb3c\uc774\uc9c0\ub9cc, \uc6d0-\ud56b \uc778\ucf54\ub529\uc5d0\uc11c\ub294 \uc774 \ub458\uc774 \uc804\ud600 \ub2e4\ub978 \ubca1\ud130\ub85c \ud45c\ud604\ub429\ub2c8\ub2e4. \uc774 \uacbd\uc6b0 \ub354 \uc9c4\ubcf4\ud55c \ubca1\ud130\ud654 \ubc29\ubc95\uc778 \uc784\ubca0\ub529(Embeddings)\uc744 \uc0ac\uc6a9\ud558\ub294 \uac83\uc774 \uc88b\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, Word2Vec \ub610\ub294 GloVe\uc640 \uac19\uc740 \ubc29\ubc95\uc740 \ub2e8\uc5b4 \uac04\uc758 \uc720\uc0ac\uc131\uc744 \ubc18\uc601\ud558\uc5ec \ub354 \ub098\uc740 \uacb0\uacfc\ub97c \uc774\ub04c\uc5b4\ub0bc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>3. \uc6d0-\ud56b \uc778\ucf54\ub529\uc758 \uad6c\ud604 \ubc29\ubc95<\/h2>\n<p>\uc6d0-\ud56b \uc778\ucf54\ub529\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc591\ud558\uc9c0\ub9cc, \uc77c\ubc18\uc801\uc73c\ub85c \ud30c\uc774\uc36c\uc758 <code>pandas<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4. \uc544\ub798\ub294 \uac04\ub2e8\ud55c \uc608\uc81c \ucf54\ub4dc\ub97c \ubcf4\uc5ec\ub4dc\ub9bd\ub2c8\ub2e4:<\/p>\n<pre><code>import pandas as pd\n\n# \ub370\uc774\ud130\ud504\ub808\uc784 \uc0dd\uc131\ndata = {'\ub3d9\ubb3c': ['\uc0ac\uc790', '\ud638\ub791\uc774', '\uacf0']}\ndf = pd.DataFrame(data)\n\n# \uc6d0-\ud56b \uc778\ucf54\ub529\none_hot = pd.get_dummies(df['\ub3d9\ubb3c'])\n\nprint(one_hot)\n<\/code><\/pre>\n<p>\uc704 \ucf54\ub4dc\ub97c \uc2e4\ud589\ud558\uba74 \ub2e4\uc74c\uacfc \uac19\uc740 \uacb0\uacfc\ub97c \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<div class=\"example\">\n<pre><code>   \uacf0  \uc0ac\uc790  \ud638\ub791\uc774\n0  0  1  0\n1  0  0  1\n2  1  0  0<\/code><\/pre>\n<\/div>\n<h2>4. \ub525 \ub7ec\ub2dd\uacfc \uc6d0-\ud56b \uc778\ucf54\ub529<\/h2>\n<p>\ub525 \ub7ec\ub2dd \ubaa8\ub378\uc5d0\uc11c\ub294 \uc6d0-\ud56b \uc778\ucf54\ub529\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc785\ub825 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c LSTM(Long Short-Term Memory)\uc774\ub098 CNN(Convolutional Neural Network)\uacfc \uac19\uc740 \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec\ud14d\uc2a4\ud2b8 \ubd84\ub958, \uac10\uc815 \ubd84\uc11d, \uae30\uacc4 \ubc88\uc5ed \ub4f1\uc758 \uc791\uc5c5\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. \uc544\ub798\ub294 Keras \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc6d0-\ud56b \uc778\ucf54\ub529\ub41c \ub370\uc774\ud130\ub97c \uc785\ub825\uc73c\ub85c \uc0ac\uc6a9\ud558\ub294 LSTM \ubaa8\ub378\uc758 \uac04\ub2e8\ud55c \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>from keras.models import Sequential\nfrom keras.layers import LSTM, Dense, Embedding\n\n# LSTM \ubaa8\ub378 \uad6c\ucd95\nmodel = Sequential()\nmodel.add(Embedding(input_dim=5, output_dim=3))  # \uc784\ubca0\ub529 \uce35\nmodel.add(LSTM(units=50))  # LSTM \uce35\nmodel.add(Dense(units=1, activation='sigmoid'))  # \ucd9c\ub825\uce35\n\nmodel.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n<\/code><\/pre>\n<p>\uc704\uc758 \ucf54\ub4dc\uc5d0\uc11c <code>input_dim<\/code>\uc740 \uc6d0-\ud56b \uc778\ucf54\ub529\ub41c \ub370\uc774\ud130\uc758 \ud06c\uae30\ub97c \ub098\ud0c0\ub0b4\uace0, <code>output_dim<\/code>\uc740 \uc784\ubca0\ub529 \ucc28\uc6d0\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc774\uc640 \uac19\uc774 \uc6d0-\ud56b \uc778\ucf54\ub529\ub41c \ub370\uc774\ud130\ub97c \uc785\ub825\uc73c\ub85c \ubc1b\uc544 LSTM \ub124\ud2b8\uc6cc\ud06c\ub97c \ud1b5\ud574 \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4.1. \uc6d0-\ud56b \uc778\ucf54\ub529\uc758 \ud55c\uacc4<\/h3>\n<p>\uc6d0-\ud56b \uc778\ucf54\ub529\uc740 \uac04\ub2e8\ud558\uace0 \uc0ac\uc6a9\ud558\uae30 \uc26c\uc6b0\ub098 \uba87 \uac00\uc9c0 \ud55c\uacc4\uac00 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\uba54\ubaa8\ub9ac \ub0ad\ube44:<\/strong> \uace0\ucc28\uc6d0 \ub370\uc774\ud130\ub85c \ubcc0\ud658\ud558\uae30 \ub54c\ubb38\uc5d0 \uba54\ubaa8\ub9ac \uc0ac\uc6a9\ub7c9\uc774 \uc99d\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\uc815\ubcf4 \uc190\uc2e4:<\/strong> \ub2e8\uc5b4 \uac04\uc758 \uad00\uacc4\ub97c \uace0\ub824\ud558\uc9c0 \uc54a\uae30 \ub54c\ubb38\uc5d0 \uc720\uc0ac\ud55c \uc758\ubbf8\ub97c \uac00\uc9c4 \ub2e8\uc5b4\ub4e4\uc774 \uadfc\uc811\ud55c \uc704\uce58\uc5d0 \ub193\uc774\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\uc2a4\ud30c\uc2a4\ud55c \ubca1\ud130:<\/strong> \ub300\ubd80\ubd84\uc758 \uc6d0-\ud56b \uc778\ucf54\ub529 \ubca1\ud130\ub294 0\uc73c\ub85c \ucc44\uc6cc\uc838 \uc788\uc5b4 \uacc4\uc0b0 \ud6a8\uc728\uc131\uc774 \ub5a8\uc5b4\uc9d1\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>5. \uacb0\ub860 \ubc0f \ud5a5\ud6c4 \uc5f0\uad6c \ubc29\ud5a5<\/h2>\n<p>\uc6d0-\ud56b \uc778\ucf54\ub529\uc740 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ubcf8\uc801\uc778 \uae30\ubc95 \uc911 \ud558\ub098\ub85c, \uac04\ub2e8\ud558\uba74\uc11c\ub3c4 \uac15\ub825\ud55c \ubc29\ubc95\uc785\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \ub354 \ub098\uc740 \uc131\ub2a5\uc744 \uc6d0\ud55c\ub2e4\uba74 \ub2e8\uc5b4\uc758 \uc758\ubbf8\uc640 \uad00\uacc4\ub97c \ubc18\uc601\ud558\ub294 \uc784\ubca0\ub529 \uae30\ubc95\uc744 \ud65c\uc6a9\ud558\ub294 \uac83\uc774 \ubc14\ub78c\uc9c1\ud569\ub2c8\ub2e4. \ud5a5\ud6c4 \uc5f0\uad6c\uc5d0\uc11c\ub294 \uc6d0-\ud56b \uc778\ucf54\ub529\uacfc \ubca1\ud130\ud654 \uae30\ubc95\uc744 \ud1b5\ud569\ud558\uc5ec \ub354\uc6b1 \uc815\uad50\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\uc744 \uac1c\ubc1c\ud560 \uc218 \uc788\uc744 \uac83\uc785\ub2c8\ub2e4. \ub610\ud55c, \ud615\uc2dd \uc5b8\uc5b4 \uc774\ub860\uc744 \uc774\uc6a9\ud55c \uc811\uadfc \ubc29\uc2dd\uc774 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ud6a8\uc728\uc131\uc744 \ub192\uc774\ub294 \ub370 \uae30\uc5ec\ud560 \uc218 \uc788\uc744 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<p class=\"note\">\uc774 \uae00\uc774 \uc6d0-\ud56b \uc778\ucf54\ub529\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ubcf8 \uac1c\ub150\uc744 \uc774\ud574\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub418\uc5c8\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd\uacfc NLP\uc758 \ubc1c\uc804\uc744 \ud1b5\ud574 \ub354 \ub098\uc740 \uc778\uac04-\uae30\uacc4 \uc0c1\ud638\uc791\uc6a9\uc774 \uc774\ub8e8\uc5b4\uc9c8 \uc218 \uc788\uae30\ub97c \uae30\ub300\ud569\ub2c8\ub2e4.<\/p>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \uae30\uc220\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144\uac04 \ub525 \ub7ec\ub2dd\uc774 NLP \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc744 \uc774\ub904\ub0b8 \uac00\uc6b4\ub370, \uc6d0-\ud56b \uc778\ucf54\ub529(One-Hot Encoding)\uc774\ub77c\ub294 \uae30\ubc95\uc774 \uc774 \uacfc\uc815\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \uc6d0-\ud56b \uc778\ucf54\ub529\uc758 \uac1c\ub150, \uad6c\ud604 \ubc29\ubc95, \uadf8\ub9ac\uace0 \ub525 \ub7ec\ub2dd\uacfc\uc758 \uad00\uacc4\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc6d0-\ud56b \uc778\ucf54\ub529(One-Hot Encoding)\ub780? \uc6d0-\ud56b \uc778\ucf54\ub529\uc740 \ubc94\uc8fc\ud615 \ub370\uc774\ud130\ub97c \ucef4\ud4e8\ud130\uac00 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/25187\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc6d0-\ud56b \uc778\ucf54\ub529(One-Hot Encoding)&#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-25187","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 \uc774\uc6a9\ud55c 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