\uac15\uc88c \uc791\uc131\uc77c: 2023\ub144 10\uc6d4<\/p>\n<\/header>\n \n \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c \ub370\uc774\ud130\uc640 \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \ub9e4\ub9e4 \uacb0\uc815\uc744 \uc790\ub3d9\uc73c\ub85c \ub0b4\ub9ac\ub294 \uad8c\uc7a5 \uc0ac\ud56d\uc785\ub2c8\ub2e4. \uc624\ub298\ub0a0 \uc6b0\ub9ac\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\uc220\uc744 \ud65c\uc6a9\ud558\uc5ec \ub354 \uc815\uad50\ud558\uace0 \ud6a8\uacfc\uc801\uc778 \uc804\ub7b5\uc744 \uac1c\ubc1c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 Latent Semantic Indexing (LSI)<\/strong> \ubc29\ubc95\ub860\uc744 \ud65c\uc6a9\ud558\uc5ec \uc8fc\uc2dd \uc2dc\uc7a5\uc758 \ud328\ud134\uc744 \ud559\uc2b5\ud558\ub294 \ubc29\ubc95\uc744 \uc18c\uac1c\ud560 \uac83\uc785\ub2c8\ub2e4. \ub610\ud55c, \n \uba38\uc2e0\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \ud328\ud134\uc744 \ubc1c\uacac\ud558\uace0, \uc774\ub97c \ubc14\ud0d5\uc73c\ub85c \uc608\uce21\uc774\ub098 \uacb0\uc815\uc744 \ub0b4\ub9ac\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd\uc740 \uc8fc\ub85c \ub450 \uac00\uc9c0 \uc720\ud615\uc73c\ub85c \ub098\ub20c \uc218 \uc788\uc2b5\ub2c8\ub2e4: \uc9c0\ub3c4\ud559\uc2b5<\/strong>\uacfc \ube44\uc9c0\ub3c4\ud559\uc2b5<\/strong>. \uc9c0\ub3c4\ud559\uc2b5\uc740 \uc54c\ub824\uc9c4 \uacb0\uacfc\ub97c \uae30\ubc18\uc73c\ub85c \ud559\uc2b5\ud558\ub294 \ubc29\uc2dd\uc774\uba70, \ube44\uc9c0\ub3c4\ud559\uc2b5\uc740 \uacb0\uacfc\uac00 \uc5c6\ub294 \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\uc5ec \uad6c\uc870\ub97c \ucc3e\ub294 \ubc29\uc2dd\uc785\ub2c8\ub2e4.\n <\/p>\n \n\ub525\ub7ec\ub2dd<\/strong>\uc740 \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud558\uc704 \ubd84\uc57c\ub85c, \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\uc5d0\uc11c \ud559\uc2b5\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ub525\ub7ec\ub2dd\uc740 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130(\uc608: \uc774\ubbf8\uc9c0, \ud14d\uc2a4\ud2b8)\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4. \uc624\ub298\uc740 \uc8fc\uc2dd \ub370\uc774\ud130\uc5d0\uc11c LSI\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc74c\uc131\uacfc \uac19\uc740 \ube44\uc815\ud615 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ucc3e\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n<\/section>\n \n LSI\ub294 \uc815\ubcf4 \uac80\uc0c9 \ubc0f \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \uc0ac\uc6a9\ub418\ub294 \uae30\ubc95\uc73c\ub85c, \ub2e8\uc5b4\uac04\uc758 \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \ubd84\uc11d\ud558\uc5ec \uc7a0\uc7ac\uc801\uc778 \uc8fc\uc81c\ub97c \ud30c\uc545\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc8fc\uc2dd \ub370\uc774\ud130\ub098 \ub2e4\ub978 \ube44\uc815\ud615 \ub370\uc774\ud130\uc5d0\uc11c \ub274\uc2a4 \uae30\uc0ac, \ud2b8\uc717 \ub4f1\uacfc \uac19\uc740 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. LSI\ub294 \uc8fc\ub85c \ud2b9\uc774\uac12 \ubd84\ud574 (SVD)<\/strong>\ub97c \uc0ac\uc6a9\ud558\uc5ec \ucc28\uc6d0 \ucd95\uc18c\ub97c \uc218\ud589\ud569\ub2c8\ub2e4.\n <\/p>\n \n LSI\uc758 \uc7a5\uc810\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n \n LSI\ub97c \uc801\uc6a9\ud558\uae30 \uc704\ud574 \uba3c\uc800 \ud544\uc694\ud55c \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc900\ube44\ud574\uc57c \ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc8fc\uc2dd \ub370\uc774\ud130\ub294 \n \uc5ec\uae30\uc11c \n LSI\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc5d0 \uc798 \uc791\ub3d9\ud558\uae30 \ub54c\ubb38\uc5d0, \uc8fc\uc2dd \uad00\ub828 \ub274\uc2a4\ub098 \uc18c\uc15c \ubbf8\ub514\uc5b4 \uae00 \uac19\uc740 \uc815\ubcf4\ub97c \uc218\uc9d1\ud558\uc5ec \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc804\ucc98\ub9ac\ud558\ub294 \uacfc\uc815\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n \n \uc774\uc81c \uc6b0\ub9ac\ub294 \n LSI \uacb0\uacfc\ub97c \ud1b5\ud574 \ucc3e\uc740 \uc7a0\uc7ac \uc758\ubbf8\uc801 \uc8fc\uc81c\ub97c \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c LSI\uc758 \uacb0\uacfc\ub294 2\ucc28\uc6d0 \ub610\ub294 3\ucc28\uc6d0\uc73c\ub85c \uc2dc\uac01\ud654\ud558\uc5ec \uac01 \ubb38\uc11c\uc758 \uc720\uc0ac\ub3c4\ub97c \uc774\ud574\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.\n <\/p>\n \n LSI \ubaa8\ub378\uc744 \ucc98\ud615\ud55c \ud6c4, \uc774 \uacb0\uacfc\ub97c \uac00\uc9c0\uace0 \uae08\uc735 \ub370\uc774\ud130 \uc608\uce21\uc5d0 \ud65c\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. LSI\ub85c \ub3c4\ucd9c\ub41c \uc8fc\uc81c\ub294 \ud604\uc7ac\uc758 \uc8fc\uc2dd \uac00\uaca9\uc5d0 \ub300\ud55c \uc608\uce21\uc5d0 \uc5f0\uacb0\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ud2b9\uc815 \uc8fc\uc81c\uc5d0 \ub300\ud55c \ub274\uc2a4 \uae30\uc0ac\uac00 \uae0d\uc815\uc801\uc778\uc9c0 \ubd80\uc815\uc801\uc778\uc9c0\ub97c \uac10\uc9c0\ud558\uc5ec \ub9e4\ub9e4 \uacb0\uc815\uc5d0 \uc601\ud5a5\uc744 \uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n<\/section>\n \n \ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uba74 \ub354 \ub9ce\uc740 \ucc28\uc6d0\uacfc \ubcf5\uc7a1\ud55c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uc5ec \uc2dc\uc7a5\uc744 \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. LSI\uc758 \uae30\ucd08 \uc704\uc5d0 \ud55c\uce35 \ub354 \ubc1c\uc804\ub41c \ubc29\uc2dd\uc73c\ub85c LSTM(\uc7a5\ub2e8\uae30 \uba54\ubaa8\ub9ac) \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95 \ub610\ud55c \ud0d0\uad6c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n<\/section>\n \n \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\uc220\uc740 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \ubc1c\uc804\uc5d0 \uc911\uc694\ud55c \uae30\uc5ec\ub97c \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. LSI \uae30\uc220\uc744 \ud1b5\ud558\uc5ec, \uc228\uaca8\uc9c4 \ud328\ud134\uc744 \ubc1c\uacac\ud558\uace0 \uc2dc\uc7a5 \ud589\ub3d9\uc744 \uc608\uce21\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\ub97c \ud1b5\ud574 \uc5ec\ub7ec\ubd84\uc774 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529 \uac1c\ubc1c\uc5d0 \ud55c\uac78\uc74c \ub354 \ub2e4\uac00\uac08 \uc218 \uc788\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.\n <\/p>\n<\/section>\n1. \uc11c\ub860<\/h2>\n
scikit-learn<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec LSI\ub97c \uad6c\ud604\ud558\uace0 \uae08\uc735 \ub370\uc774\ud130\uc5d0 \uc801\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n<\/section>\n2. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \uae30\ucd08<\/h2>\n
3. Latent Semantic Indexing (LSI)\ub780?<\/h2>\n
\n
4. \ub370\uc774\ud130 \uc900\ube44<\/h2>\n
pandas<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc77d\uc5b4\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, Yahoo Finance API \ub610\ub294 \ub2e4\ub978 \uae08\uc735 \ub370\uc774\ud130 \uc81c\uacf5\uc5c5\uccb4\uc5d0\uc11c \ub370\uc774\ud130\ub97c \uac00\uc838\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n\nimport pandas as pd\n\n# \ub370\uc774\ud130 \ubd88\ub7ec\uc624\uae30\ndata = pd.read_csv('stock_data.csv')\ndata.head()\n <\/code><\/pre>\nstock_data.csv<\/code> \ud30c\uc77c\uc740 \uc8fc\uc2dd\uc758 \ub0a0\uc9dc, \uac00\uaca9, \uac70\ub798\ub7c9 \ub4f1\uacfc \uac19\uc740 \uc815\ubcf4\ub97c \ud3ec\ud568\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n<\/section>\n5. \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h2>\n
\n
\nfrom sklearn.feature_extraction.text import CountVectorizer\nfrom nltk.corpus import stopwords\nimport string\n\n# \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130 \uc804\ucc98\ub9ac \ud568\uc218\ndef preprocess_text(text):\n # \uc18c\ubb38\uc790 \ubcc0\ud658\n text = text.lower()\n # \uad6c\ub450\uc810 \uc81c\uac70\n text = text.translate(str.maketrans('', '', string.punctuation))\n # \ubd88\uc6a9\uc5b4 \uc81c\uac70\n stop_words = set(stopwords.words('english'))\n text = ' '.join([word for word in text.split() if word not in stop_words])\n return text\n <\/code><\/pre>\n<\/section>\n6. LSI\uc758 \uad6c\ud604<\/h2>\n
scikit-learn<\/code>\uc744 \uc0ac\uc6a9\ud558\uc5ec LSI\ub97c \uad6c\ud604\ud560 \uc900\ube44\uac00 \ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uba3c\uc800, \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ubca1\ud130\ud654\ud558\uace0, SVD\ub97c \uc0ac\uc6a9\ud558\uc5ec \ucc28\uc6d0 \ucd95\uc18c\ub97c \uc218\ud589\ud558\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n\nfrom sklearn.decomposition import TruncatedSVD\n\n# \ub274\uc2a4 \uae30\uc0ac \ub9ac\uc2a4\ud2b8\ndocuments = ['Text of document one', 'Text of document two', ...]\n\n# CountVectorizer\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubca1\ud130\ud654\nvectorizer = CountVectorizer()\nX = vectorizer.fit_transform(documents)\n\n# LSI \uad6c\ud604\nsvd = TruncatedSVD(n_components=2) # \uc8fc\uc131\ubd84\uc758 \uac1c\uc218 \uc124\uc815\nlsi = svd.fit_transform(X)\n\n# LSI \uacb0\uacfc \ud655\uc778\nprint(lsi)\n <\/code><\/pre>\n<\/section>\n7. \uacb0\uacfc \ubd84\uc11d<\/h2>\n
\nimport matplotlib.pyplot as plt\n\n# \uac70\ub9ac \uacc4\uc0b0 \ubc0f \uc2dc\uac01\ud654\nplt.scatter(lsi[:, 0], lsi[:, 1])\nplt.title('LSI \uacb0\uacfc\uc758 2D \uc2dc\uac01\ud654')\nplt.xlabel('\uc8fc\uc131\ubd84 1')\nplt.ylabel('\uc8fc\uc131\ubd84 2')\nplt.show()\n <\/code><\/pre>\n<\/section>\n8. \uae08\uc735 \ub370\uc774\ud130\uc5d0 \ub300\ud55c \uc801\uc6a9<\/h2>\n
9. \ub525\ub7ec\ub2dd\uc73c\ub85c \uc804\ud658<\/h2>\n
10. \uacb0\ub860<\/h2>\n