{"id":16587,"date":"2024-01-27T12:46:20","date_gmt":"2024-01-27T09:16:20","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/"},"modified":"2024-01-27T12:46:20","modified_gmt":"2024-01-27T09:16:20","slug":"%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/","title":{"rendered":"\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u0628\u0627 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 Scikit-Learn"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c\" >\u0645\u0639\u0631\u0641\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/#%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87\" >\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/#%d8%aa%d8%ac%d8%b2%db%8c%d9%87_%d9%88_%d8%aa%d8%ad%d9%84%db%8c%d9%84_%d8%a7%d8%ad%d8%b3%d8%a7%d8%b3%d8%a7%d8%aa_%d8%a8%d8%a7_scikit-learn\" >\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u0628\u0627 Scikit-Learn<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/#%d9%88%d8%a7%d8%b1%d8%af%d8%a7%d8%aa_%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87_%d9%87%d8%a7\" >\u0648\u0627\u0631\u062f\u0627\u062a \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/#%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87\" >\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/#%d9%be%db%8c%d8%b4_%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4_%d9%85%d8%aa%d9%86\" >\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u062a\u0646<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/#%d8%aa%d8%a8%d8%af%db%8c%d9%84_%d9%85%d8%aa%d9%86_%d8%a8%d9%87_%d8%a7%d8%b9%d8%af%d8%a7%d8%af\" >\u062a\u0628\u062f\u06cc\u0644 \u0645\u062a\u0646 \u0628\u0647 \u0627\u0639\u062f\u0627\u062f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/#%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d9%87%d8%a7%db%8c_%d8%a2%d9%85%d9%88%d8%b2%d8%b4%db%8c_%d9%88_%d8%aa%d8%b3%d8%aa%db%8c\" >\u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u062a\u0633\u062a\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/#%d9%85%d8%af%d9%84_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_%d9%85%d8%aa%d9%86_%d8%a2%d9%85%d9%88%d8%b2%d8%b4%db%8c_%d9%88_%d9%be%db%8c%d8%b4_%d8%a8%db%8c%d9%86%db%8c_%d8%a7%d8%ad%d8%b3%d8%a7%d8%b3%d8%a7%d8%aa\" >\u0645\u062f\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0627\u062d\u0633\u0627\u0633\u0627\u062a<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/#%d8%a7%d8%b1%d8%b2%db%8c%d8%a7%d8%a8%db%8c_%d9%85%d8%af%d9%84\" >\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/#%d8%b0%d8%ae%db%8c%d8%b1%d9%87_%d9%88_%d8%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c_%d9%85%d8%af%d9%84\" >\u0630\u062e\u06cc\u0631\u0647 \u0648 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u062f\u0644<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d9%85%d8%aa%d9%86-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%88-scikit-learn\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87\" >\u0646\u062a\u06cc\u062c\u0647<\/a><\/li><\/ul><\/nav><\/div>\n<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 9<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b9%d8%b1%d9%81%db%8c\"><\/span>\u0645\u0639\u0631\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0647\u0645\u062a\u0631\u06cc\u0646 \u0648\u0638\u0627\u06cc\u0641 \u062f\u0631 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u0627\u0633\u062a.  \u0622\u0646 \u0627\u0633\u062a process \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0631\u0634\u062a\u0647 \u0647\u0627\u06cc \u0645\u062a\u0646\u06cc \u06cc\u0627 \u0627\u0633\u0646\u0627\u062f \u0628\u0647 \u062f\u0633\u062a\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u060c \u0628\u0633\u062a\u0647 \u0628\u0647 \u0645\u062d\u062a\u0648\u0627\u06cc \u0631\u0634\u062a\u0647 \u0647\u0627.  \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u062f\u0627\u0631\u062f\u060c \u0645\u0627\u0646\u0646\u062f \u062a\u0634\u062e\u06cc\u0635 \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u06a9\u0627\u0631\u0628\u0631 \u0627\u0632 \u062a\u0648\u06cc\u06cc\u062a\u060c \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0627\u06cc\u0645\u06cc\u0644 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0647\u0631\u0632\u0646\u0627\u0645\u0647 \u06cc\u0627 ham\u060c \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u067e\u0633\u062a\u200c\u0647\u0627\u06cc \u0648\u0628\u0644\u0627\u06af \u062f\u0631 \u062f\u0633\u062a\u0647\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u060c \u0628\u0631\u0686\u0633\u0628\u200c\u06af\u0630\u0627\u0631\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u062f\u0631\u062e\u0648\u0627\u0633\u062a\u200c\u0647\u0627\u06cc \u0645\u0634\u062a\u0631\u06cc \u0648 \u063a\u06cc\u0631\u0647. \u0631\u0648\u06cc.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0646\u0645\u0648\u0646\u0647 \u0627\u06cc \u0627\u0632 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f.  \u0645\u0627 \u06cc\u06a9 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f \u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u062f \u0645\u062b\u0628\u062a \u06cc\u0627 \u0645\u0646\u0641\u06cc \u0628\u0648\u062f\u0646 \u06cc\u06a9 \u0646\u0642\u062f \u0641\u06cc\u0644\u0645 \u0631\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u062f.  \u0627\u06cc\u0646 \u06cc\u06a9 \u0645\u062b\u0627\u0644 \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0627\u0632 \u062a\u062d\u0644\u06cc\u0644 \u0627\u062d\u0633\u0627\u0633\u0627\u062a\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u0627\u0641\u0631\u0627\u062f \u0646\u0633\u0628\u062a \u0628\u0647 \u06cc\u06a9 \u0645\u0648\u062c\u0648\u062f\u06cc\u062a \u062e\u0627\u0635 \u062f\u0631 \u062f\u0633\u062a\u0647\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0645\u06cc\u200c\u0634\u0648\u062f.<\/p>\n<h2 id=\"dataset\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87\"><\/span>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u06cc \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0632 \u0627\u06cc\u0646 \u0642\u0633\u0645\u062a \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0631\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"http:\/\/www.cs.cornell.edu\/people\/pabo\/movie-review-data\/review_polarity.tar.gz\">\u06af\u0631\u0648\u0647 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u06a9\u0648\u0631\u0646\u0644<\/a>.  \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639 \u0627\u0632 2000 \u0633\u0646\u062f \u062a\u0634\u06a9\u06cc\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u0646\u06cc\u0645\u06cc \u0627\u0632 \u0627\u0633\u0646\u0627\u062f \u0634\u0627\u0645\u0644 \u0646\u0642\u062f\u0647\u0627\u06cc \u0645\u062b\u0628\u062a \u062f\u0631 \u0645\u0648\u0631\u062f \u06cc\u06a9 \u0641\u06cc\u0644\u0645 \u0627\u0633\u062a \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0646\u06cc\u0645\u06cc \u062f\u06cc\u06af\u0631 \u062d\u0627\u0648\u06cc \u0646\u0642\u062f\u0647\u0627\u06cc \u0645\u0646\u0641\u06cc \u0627\u0633\u062a.  \u062c\u0632\u0626\u06cc\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u06cc\u0627\u0641\u062a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"http:\/\/www.cs.cornell.edu\/people\/pabo\/movie-review-data\/poldata.README.2.0.txt\">\u0627\u06cc\u0646 \u0644\u06cc\u0646\u06a9<\/a>.<\/p>\n<p>\u067e\u0633 \u0627\u0632 \u062f\u0627\u0646\u0644\u0648\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0627\u0632 \u062d\u0627\u0644\u062a \u0641\u0634\u0631\u062f\u0647 \u062e\u0627\u0631\u062c \u06cc\u0627 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u06a9\u0646\u06cc\u062f.  \u067e\u0648\u0634\u0647 &#8220;txt_sentoken&#8221; \u0631\u0627 \u0628\u0627\u0632 \u06a9\u0646\u06cc\u062f.  \u067e\u0648\u0634\u0647 \u062d\u0627\u0648\u06cc \u062f\u0648 \u0632\u06cc\u0631\u067e\u0648\u0634\u0647 \u0627\u0633\u062a: &#8220;neg&#8221; \u0648 &#8220;pos&#8221;.  \u0627\u06af\u0631 \u0627\u06cc\u0646 \u067e\u0648\u0634\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0627\u0632 \u06a9\u0646\u06cc\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0633\u0646\u0627\u062f \u0645\u062a\u0646\u06cc \u062d\u0627\u0648\u06cc \u0646\u0642\u062f \u0641\u06cc\u0644\u0645 \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f.<\/p>\n<h2 id=\"sentimentanalysiswithscikitlearn\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%ac%d8%b2%db%8c%d9%87_%d9%88_%d8%aa%d8%ad%d9%84%db%8c%d9%84_%d8%a7%d8%ad%d8%b3%d8%a7%d8%b3%d8%a7%d8%aa_%d8%a8%d8%a7_scikit-learn\"><\/span>\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u0628\u0627 Scikit-Learn<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u06a9\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645\u060c \u0632\u0645\u0627\u0646 \u0622\u0646 \u0631\u0633\u06cc\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0627\u0642\u062f\u0627\u0645\u0627\u062a\u06cc \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u0645.  \u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634\u060c \u06cc\u06a9 \u0633\u0631\u06cc \u0645\u0631\u0627\u062d\u0644 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u0627\u0632 \u0631\u0648\u06cc \u0646\u0642\u062f \u0641\u06cc\u0644\u0645\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645.  \u0627\u06cc\u0646 \u0645\u0631\u0627\u062d\u0644 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u0647\u0631 \u06a9\u0627\u0631 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.  \u0645\u0627 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Scikit-Learn \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<p>\u0645\u0631\u0627\u062d\u0644 \u0632\u06cc\u0631 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0645\u062f\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f:<\/p>\n<ol>\n<li>\u0648\u0627\u0631\u062f\u0627\u062a \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627<\/li>\n<li>\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647<\/li>\n<li>\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u062a\u0646<\/li>\n<li>\u062a\u0628\u062f\u06cc\u0644 \u0645\u062a\u0646 \u0628\u0647 \u0627\u0639\u062f\u0627\u062f<\/li>\n<li>\u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u062a\u0633\u062a\u06cc<\/li>\n<li>\u0645\u062f\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0627\u062d\u0633\u0627\u0633\u0627\u062a<\/li>\n<li>\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<\/li>\n<li>\u0630\u062e\u06cc\u0631\u0647 \u0648 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u062f\u0644<\/li>\n<\/ol>\n<h3 id=\"importinglibraries\"><span class=\"ez-toc-section\" id=\"%d9%88%d8%a7%d8%b1%d8%af%d8%a7%d8%aa_%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87_%d9%87%d8%a7\"><\/span>\u0648\u0627\u0631\u062f\u0627\u062a \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f import \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632:<\/p>\n<pre><code class=\"hljs\">import numpy as np\nimport re\nimport nltk\nfrom sklearn.datasets import load_files\nnltk.download('stopwords')\nimport pickle\nfrom nltk.corpus import stopwords\n<\/code><\/pre>\n<h3 id=\"importingthedataset\"><span class=\"ez-toc-section\" id=\"%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87\"><\/span>\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <code>load_files<\/code> \u062a\u0627\u0628\u0639 \u0627\u0632 <code>sklearn_datasets<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0628\u0647 import \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0645\u0627.  \u0627\u06cc\u0646 <code>load_files<\/code> \u062a\u0627\u0628\u0639 \u0628\u0647 \u0637\u0648\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0647\u062f\u0641 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f.  \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0627\u060c \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0645\u0633\u06cc\u0631 \u062f\u0627\u06cc\u0631\u06a9\u062a\u0648\u0631\u06cc &#8220;txt_sentoken&#8221; \u0645\u0646\u062a\u0642\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0627\u06cc\u0646 <code>load_files<\/code> \u0647\u0631 \u067e\u0648\u0634\u0647 \u062f\u0627\u062e\u0644 \u067e\u0648\u0634\u0647 &#8220;txt_sentoken&#8221; \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u062f\u0633\u062a\u0647 \u062f\u0631 \u0646\u0638\u0631 \u0645\u06cc \u06af\u06cc\u0631\u062f \u0648 \u062a\u0645\u0627\u0645 \u0627\u0633\u0646\u0627\u062f \u062f\u0627\u062e\u0644 \u0622\u0646 \u067e\u0648\u0634\u0647 \u0628\u0647 \u062f\u0633\u062a\u0647 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0622\u0646 \u0627\u062e\u062a\u0635\u0627\u0635 \u0645\u06cc \u06cc\u0627\u0628\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u062f\u06cc\u062f\u0646 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f <code>load_files<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u062f\u0631 \u0639\u0645\u0644:<\/p>\n<pre><code class=\"hljs\">movie_data = load_files(<span class=\"hljs-string\">r\"D:\\txt_sentoken\"<\/span>)\nX, y = movie_data.data, movie_data.target\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627\u060c <code>load_files<\/code> \u062a\u0627\u0628\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u0647\u0631 \u062f\u0648 \u067e\u0648\u0634\u0647 &#8220;neg&#8221; \u0648 &#8220;pos&#8221; \u062f\u0631 \u067e\u0648\u0634\u0647 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u06cc \u06a9\u0646\u062f <code>X<\/code> \u0645\u062a\u063a\u06cc\u0631\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u062f\u0633\u062a\u0647 \u0647\u0627\u06cc \u0647\u062f\u0641 \u062f\u0631 \u0622\u0646 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f <code>y<\/code>.  \u0627\u06cc\u0646\u062c\u0627 <code>X<\/code> \u0644\u06cc\u0633\u062a\u06cc \u0627\u0632 2000 \u0639\u0646\u0635\u0631 \u0646\u0648\u0639 \u0631\u0634\u062a\u0647 \u0627\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0647\u0631 \u0639\u0646\u0635\u0631 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0628\u0631\u0631\u0633\u06cc \u062a\u06a9 \u06a9\u0627\u0631\u0628\u0631 \u0627\u0633\u062a.  \u0628\u0647 \u0647\u0645\u06cc\u0646 \u062a\u0631\u062a\u06cc\u0628\u060c <code>y<\/code> \u06cc\u06a9 \u0622\u0631\u0627\u06cc\u0647 numpy \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 2000 \u0627\u0633\u062a. \u0627\u06af\u0631 \u0634\u0645\u0627 print <code>y<\/code> \u0631\u0648\u06cc  \u062f\u0631 \u0635\u0641\u062d\u0647 \u0646\u0645\u0627\u06cc\u0634\u060c \u0622\u0631\u0627\u06cc\u0647 \u0627\u06cc \u0627\u0632 1 \u0648 0 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.  \u0627\u06cc\u0646 \u0628\u0647 \u0627\u06cc\u0646 \u062f\u0644\u06cc\u0644 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0647\u0631 \u062f\u0633\u062a\u0647\u060c <code>load_files<\/code> \u062a\u0627\u0628\u0639 \u06cc\u06a9 \u0639\u062f\u062f \u0628\u0647 \u0622\u0631\u0627\u06cc\u0647 numpy \u0647\u062f\u0641 \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u062f.  \u0645\u0627 \u062f\u0648 \u062f\u0633\u062a\u0647 \u062f\u0627\u0631\u06cc\u0645: &#8220;neg&#8221; \u0648 &#8220;pos&#8221;\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 1s \u0648 0s \u0628\u0647 \u0622\u0631\u0627\u06cc\u0647 \u0647\u062f\u0641 \u0627\u0636\u0627\u0641\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<h3 id=\"textpreprocessing\"><span class=\"ez-toc-section\" id=\"%d9%be%db%8c%d8%b4_%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4_%d9%85%d8%aa%d9%86\"><\/span>\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u062a\u0646<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648\u0627\u0631\u062f \u0634\u062f\u060c \u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u06cc \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u062a\u0646 \u0627\u0633\u062a.  \u0645\u062a\u0646 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062d\u0627\u0648\u06cc \u0627\u0639\u062f\u0627\u062f\u060c \u06a9\u0627\u0631\u0627\u06a9\u062a\u0631\u0647\u0627\u06cc \u062e\u0627\u0635 \u0648 \u0641\u0636\u0627\u0647\u0627\u06cc \u0646\u0627\u062e\u0648\u0627\u0633\u062a\u0647 \u0628\u0627\u0634\u062f.  \u0628\u0633\u062a\u0647 \u0628\u0647 \u0645\u0634\u06a9\u0644\u06cc \u06a9\u0647 \u0628\u0627 \u0622\u0646 \u0631\u0648\u0628\u0631\u0648 \u0647\u0633\u062a\u06cc\u0645\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u062d\u0630\u0641 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u0627\u06a9\u062a\u0631\u0647\u0627 \u0648 \u0627\u0639\u062f\u0627\u062f \u062e\u0627\u0635 \u0627\u0632 \u0645\u062a\u0646 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0628\u0631\u0627\u06cc \u062a\u0648\u0636\u06cc\u062d\u060c \u0645\u0627 \u062a\u0645\u0627\u0645 \u06a9\u0627\u0631\u0627\u06a9\u062a\u0631\u0647\u0627\u06cc \u062e\u0627\u0635\u060c \u0627\u0639\u062f\u0627\u062f \u0648 \u0641\u0627\u0635\u0644\u0647 \u0647\u0627\u06cc \u0646\u0627\u062e\u0648\u0627\u0633\u062a\u0647 \u0631\u0627 \u0627\u0632 \u0645\u062a\u0646 \u062e\u0648\u062f \u062d\u0630\u0641 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">documents = ()\n\n<span class=\"hljs-keyword\">from<\/span> nltk.stem <span class=\"hljs-keyword\">import<\/span> WordNetLemmatizer\n\nstemmer = WordNetLemmatizer()\n\n<span class=\"hljs-keyword\">for<\/span> sen <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-built_in\">len<\/span>(X)):\n    \n    document = re.sub(<span class=\"hljs-string\">r'\\W'<\/span>, <span class=\"hljs-string\">' '<\/span>, <span class=\"hljs-built_in\">str<\/span>(X(sen)))\n    \n    \n    document = re.sub(<span class=\"hljs-string\">r'\\s+(a-zA-Z)\\s+'<\/span>, <span class=\"hljs-string\">' '<\/span>, document)\n    \n    \n    document = re.sub(<span class=\"hljs-string\">r'\\^(a-zA-Z)\\s+'<\/span>, <span class=\"hljs-string\">' '<\/span>, document) \n    \n    \n    document = re.sub(<span class=\"hljs-string\">r'\\s+'<\/span>, <span class=\"hljs-string\">' '<\/span>, document, flags=re.I)\n    \n    \n    document = re.sub(<span class=\"hljs-string\">r'^b\\s+'<\/span>, <span class=\"hljs-string\">''<\/span>, document)\n    \n    \n    document = document.lower()\n    \n    \n    document = document.split()\n\n    document = (stemmer.lemmatize(word) <span class=\"hljs-keyword\">for<\/span> word <span class=\"hljs-keyword\">in<\/span> document)\n    document = <span class=\"hljs-string\">' '<\/span>.join(document)\n    \n    documents.append(document)\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0645\u0627 \u0627\u0632 Regex Expressions \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Python re \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u06a9\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0628\u0627 \u062d\u0630\u0641 \u062a\u0645\u0627\u0645 \u06a9\u0627\u0631\u0627\u06a9\u062a\u0631\u0647\u0627\u06cc \u063a\u06cc\u0631\u06a9\u0644\u0645\u0647 \u0627\u06cc \u0645\u0627\u0646\u0646\u062f \u06a9\u0627\u0631\u0627\u06a9\u062a\u0631\u0647\u0627\u06cc \u062e\u0627\u0635\u060c \u0627\u0639\u062f\u0627\u062f \u0648 \u063a\u06cc\u0631\u0647 \u0634\u0631\u0648\u0639 \u0645\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0628\u0639\u062f\u060c \u062a\u0645\u0627\u0645 \u06a9\u0627\u0631\u0627\u06a9\u062a\u0631\u0647\u0627\u06cc \u0645\u0646\u0641\u0631\u062f \u0631\u0627 \u062d\u0630\u0641 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0648\u0642\u062a\u06cc \u0639\u0644\u0627\u0645\u062a \u0646\u06af\u0627\u0631\u0634\u06cc \u0631\u0627 \u0627\u0632 &#8220;David&#8217;s&#8221; \u062d\u0630\u0641 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0627 \u06cc\u06a9 \u0641\u0627\u0635\u0644\u0647 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c &#8220;David&#8221; \u0648 \u06cc\u06a9 \u06a9\u0627\u0631\u0627\u06a9\u062a\u0631 &#8220;s&#8221; \u0631\u0627 \u0645\u06cc \u06af\u06cc\u0631\u06cc\u0645 \u06a9\u0647 \u0645\u0639\u0646\u06cc \u0646\u062f\u0627\u0631\u062f.  \u0628\u0631\u0627\u06cc \u062d\u0630\u0641 \u0686\u0646\u06cc\u0646 \u06a9\u0627\u0631\u0627\u06a9\u062a\u0631\u0647\u0627\u06cc \u062a\u06a9\u06cc \u0627\u0632 \u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>\\s+(a-zA-Z)\\s+<\/code> \u0639\u0628\u0627\u0631\u062a \u0645\u0646\u0638\u0645 \u06a9\u0647 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u062a\u0645\u0627\u0645 \u0646\u0648\u06cc\u0633\u0647 \u0647\u0627\u06cc \u0645\u0646\u0641\u0631\u062f \u062f\u0627\u0631\u0627\u06cc \u0641\u0627\u0635\u0644\u0647 \u0645\u06cc \u0634\u0648\u062f \u0631\u0648\u06cc \u0647\u0631 \u0637\u0631\u0641\u060c \u0628\u0627 \u06cc\u06a9 \u0641\u0636\u0627\u06cc \u0648\u0627\u062d\u062f.<\/p>\n<p>\u0628\u0639\u062f \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>\\^(a-zA-Z)\\s+<\/code> \u0639\u0628\u0627\u0631\u062a \u0645\u0646\u0638\u0645 \u0628\u0631\u0627\u06cc \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646\u06cc \u06cc\u06a9 \u06a9\u0627\u0631\u0627\u06a9\u062a\u0631 \u0627\u0632 \u0627\u0628\u062a\u062f\u0627\u06cc \u0633\u0646\u062f\u060c \u0628\u0627 \u06cc\u06a9 \u0641\u0627\u0635\u0644\u0647.  \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646\u06cc \u06a9\u0627\u0631\u0627\u06a9\u062a\u0631\u0647\u0627\u06cc \u0645\u0646\u0641\u0631\u062f \u0628\u0627 \u06cc\u06a9 \u0641\u0627\u0635\u0644\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0627\u0639\u062b \u0627\u06cc\u062c\u0627\u062f \u0686\u0646\u062f \u0641\u0627\u0635\u0644\u0647 \u0634\u0648\u062f \u06a9\u0647 \u0627\u06cc\u062f\u0647 \u0622\u0644 \u0646\u06cc\u0633\u062a.<\/p>\n<p>\u0645\u0627 \u062f\u0648\u0628\u0627\u0631\u0647 \u0627\u0632 \u0639\u0628\u0627\u0631\u062a \u0645\u0646\u0638\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>\\s+<\/code> \u0628\u0631\u0627\u06cc \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646\u06cc \u06cc\u06a9 \u06cc\u0627 \u0686\u0646\u062f \u0641\u0636\u0627 \u0628\u0627 \u06cc\u06a9 \u0641\u0636\u0627\u06cc \u0648\u0627\u062d\u062f.  \u0648\u0642\u062a\u06cc \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0631 \u0642\u0627\u0644\u0628 \u0628\u0627\u06cc\u062a \u062f\u0627\u0631\u06cc\u062f\u060c \u062d\u0631\u0641 \u0627\u0644\u0641\u0628\u0627\u06cc &#8220;b&#8221; \u0642\u0628\u0644 \u0627\u0632 \u0647\u0631 \u0631\u0634\u062a\u0647 \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0631\u0698\u06a9\u0633 <code>^b\\s+<\/code> &#8220;b&#8221; \u0631\u0627 \u0627\u0632 \u0627\u0628\u062a\u062f\u0627\u06cc \u06cc\u06a9 \u0631\u0634\u062a\u0647 \u062d\u0630\u0641 \u0645\u06cc \u06a9\u0646\u062f.  \u06af\u0627\u0645 \u0628\u0639\u062f\u06cc \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u062d\u0631\u0648\u0641 \u06a9\u0648\u0686\u06a9 \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u062f \u062a\u0627 \u06a9\u0644\u0645\u0627\u062a\u06cc \u06a9\u0647 \u062f\u0631 \u0648\u0627\u0642\u0639 \u06cc\u06a9\u0633\u0627\u0646 \u0647\u0633\u062a\u0646\u062f \u0627\u0645\u0627 \u062d\u0631\u0648\u0641 \u0645\u062a\u0641\u0627\u0648\u062a\u06cc \u062f\u0627\u0631\u0646\u062f \u0628\u0647 \u0637\u0648\u0631 \u06cc\u06a9\u0633\u0627\u0646 \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0634\u0648\u0646\u062f.<\/p>\n<p>\u0645\u0631\u062d\u0644\u0647 \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0646\u0647\u0627\u06cc\u06cc \u0627\u06cc\u0646 \u0627\u0633\u062a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Tf%E2%80%93idf\">\u0631\u06cc\u0634\u0647 \u06cc\u0627\u0628\u06cc<\/a>.  \u062f\u0631 \u0648\u0627\u0698\u0647 \u0633\u0627\u0632\u06cc\u060c \u06a9\u0644\u0645\u0647 \u0631\u0627 \u0628\u0647 \u0641\u0631\u0647\u0646\u06af \u0644\u063a\u062a \u06a9\u0627\u0647\u0634 \u0645\u06cc \u062f\u0647\u06cc\u0645 root \u0641\u0631\u0645.  \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 &#8220;\u06af\u0631\u0628\u0647&#8221; \u0628\u0647 &#8220;\u06af\u0631\u0628\u0647&#8221; \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc \u0634\u0648\u062f.  Lemmatization \u0628\u0647 \u0645\u0646\u0638\u0648\u0631 \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 \u0627\u06cc\u062c\u0627\u062f \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc\u06cc \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u0627\u0632 \u0646\u0638\u0631 \u0645\u0639\u0646\u0627\u06cc\u06cc \u0645\u0634\u0627\u0628\u0647 \u0627\u0645\u0627 \u0627\u0632 \u0646\u0638\u0631 \u0646\u062d\u0648\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0647\u0633\u062a\u0646\u062f.  \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0645\u0627 \u062f\u0648 \u0648\u06cc\u0698\u06af\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0628\u0647 \u0646\u0627\u0645\u200c\u0647\u0627\u06cc \u00abcats\u00bb \u0648 \u00abcat\u00bb \u0631\u0627 \u0646\u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0647 \u0627\u0632 \u0646\u0638\u0631 \u0645\u0639\u0646\u0627\u06cc\u06cc \u0645\u0634\u0627\u0628\u0647 \u0628\u0627\u0634\u0646\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0627 \u0648\u0627\u0698\u0647\u200c\u0633\u0627\u0632\u06cc \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645.<\/p>\n<h3 id=\"convertingtexttonumbers\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%a8%d8%af%db%8c%d9%84_%d9%85%d8%aa%d9%86_%d8%a8%d9%87_%d8%a7%d8%b9%d8%af%d8%a7%d8%af\"><\/span>\u062a\u0628\u062f\u06cc\u0644 \u0645\u062a\u0646 \u0628\u0647 \u0627\u0639\u062f\u0627\u062f<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0645\u0627\u0634\u06cc\u0646\u200c\u0647\u0627 \u0628\u0631\u062e\u0644\u0627\u0641 \u0627\u0646\u0633\u0627\u0646\u200c\u0647\u0627 \u0646\u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u0646\u062f \u0645\u062a\u0646 \u062e\u0627\u0645 \u0631\u0627 \u0628\u0641\u0647\u0645\u0646\u062f.  \u0645\u0627\u0634\u06cc\u0646 \u0647\u0627 \u0641\u0642\u0637 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0627\u0639\u062f\u0627\u062f \u0631\u0627 \u0628\u0628\u06cc\u0646\u0646\u062f.  \u0628\u0647 \u0648\u06cc\u0698\u0647\u060c \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u0645\u0627\u0646\u0646\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0641\u0642\u0637 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0628\u0627 \u0627\u0639\u062f\u0627\u062f \u0633\u0631\u0648\u06a9\u0627\u0631 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0646\u062f.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0628\u0627\u06cc\u062f \u0645\u062a\u0646 \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0639\u062f\u062f \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0631\u0648\u06cc\u06a9\u0631\u062f\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0628\u0631\u0627\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0645\u062a\u0646 \u0628\u0647 \u0634\u06a9\u0644 \u0639\u062f\u062f\u06cc \u0645\u0631\u0628\u0648\u0637\u0647 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f. <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Bag-of-words_model\">\u0645\u062f\u0644 \u06a9\u06cc\u0633\u0647 \u06a9\u0644\u0645\u0627\u062a<\/a> \u0648 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Word_embedding\">\u0645\u062f\u0644 \u062c\u0627\u0633\u0627\u0632\u06cc \u06a9\u0644\u0645\u0647<\/a> \u062f\u0648 \u0645\u0648\u0631\u062f \u0627\u0632 \u0645\u062a\u062f\u0627\u0648\u0644 \u062a\u0631\u06cc\u0646 \u0631\u0648\u06cc\u06a9\u0631\u062f\u0647\u0627 \u0647\u0633\u062a\u0646\u062f.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0627\u0632 \u0645\u062f\u0644 \u06a9\u06cc\u0641 \u06a9\u0644\u0645\u0627\u062a \u0628\u0631\u0627\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0645\u062a\u0646 \u062e\u0648\u062f \u0628\u0647 \u0639\u062f\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<h4 id=\"bagofwords\">\u06a9\u06cc\u0633\u0647 \u06a9\u0644\u0645\u0627\u062a<\/h4>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0627\u0632 \u0645\u062f\u0644 \u06a9\u06cc\u0633\u0647 \u06a9\u0644\u0645\u0627\u062a \u0628\u0631\u0627\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0627\u0633\u0646\u0627\u062f \u0645\u062a\u0646\u06cc \u0628\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0639\u062f\u062f\u06cc \u0645\u0631\u0628\u0648\u0637\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.feature_extraction.text <span class=\"hljs-keyword\">import<\/span> CountVectorizer\nvectorizer = CountVectorizer(max_features=<span class=\"hljs-number\">1500<\/span>, min_df=<span class=\"hljs-number\">5<\/span>, max_df=<span class=\"hljs-number\">0.7<\/span>, stop_words=stopwords.words(<span class=\"hljs-string\">'english'<\/span>))\nX = vectorizer.fit_transform(documents).toarray()\n<\/code><\/pre>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f <code>CountVectorizer<\/code> \u06a9\u0644\u0627\u0633 \u0627\u0632 <code>sklearn.feature_extraction.text<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647  \u0628\u0631\u062e\u06cc \u0627\u0632 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0645\u0647\u0645 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0633\u0627\u0632\u0646\u062f\u0647 \u06a9\u0644\u0627\u0633 \u0645\u0646\u062a\u0642\u0644 \u0634\u0648\u062f.  \u0627\u0648\u0644\u06cc\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0639\u0628\u0627\u0631\u062a \u0627\u0633\u062a \u0627\u0632 <code>max_features<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u060c \u06a9\u0647 \u0631\u0648\u06cc 1500 \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0628\u0647 \u0627\u06cc\u0646 \u062f\u0644\u06cc\u0644 \u0627\u0633\u062a \u06a9\u0647 \u0648\u0642\u062a\u06cc \u06a9\u0644\u0645\u0627\u062a \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u06cc\u06a9\u0631\u062f \u06a9\u06cc\u0633\u0647 \u06a9\u0644\u0645\u0627\u062a \u0628\u0647 \u0627\u0639\u062f\u0627\u062f \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u062a\u0645\u0627\u0645 \u06a9\u0644\u0645\u0627\u062a \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f \u062f\u0631 \u0647\u0645\u0647 \u0627\u0633\u0646\u0627\u062f \u0628\u0647 \u0648\u06cc\u0698\u06af\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc \u0634\u0648\u0646\u062f.  \u0647\u0645\u0647 \u0627\u0633\u0646\u0627\u062f \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u062d\u0627\u0648\u06cc \u062f\u0647 \u0647\u0627 \u0647\u0632\u0627\u0631 \u06a9\u0644\u0645\u0647 \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f \u0628\u0627\u0634\u0646\u062f.  \u0627\u0645\u0627 \u06a9\u0644\u0645\u0627\u062a\u06cc \u06a9\u0647 \u0641\u0631\u0627\u0648\u0627\u0646\u06cc \u0628\u0633\u06cc\u0627\u0631 \u067e\u0627\u06cc\u06cc\u0646\u06cc \u062f\u0627\u0631\u0646\u062f \u0628\u0647 \u0637\u0648\u0631 \u063a\u06cc\u0631\u0639\u0627\u062f\u06cc \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0645\u0646\u0627\u0633\u0628\u06cc \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0627\u0633\u0646\u0627\u062f \u0646\u06cc\u0633\u062a\u0646\u062f.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>max_features<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0628\u0647 1500\u060c \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u06a9\u0647 \u0645\u0627 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0627\u0632 1500 \u06a9\u0644\u0645\u0647 \u0631\u0627\u06cc\u062c \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u062e\u0648\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0628\u0639\u062f\u06cc \u0627\u06cc\u0646 \u0627\u0633\u062a <code>min_df<\/code> \u0648 \u0631\u0648\u06cc 5 \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u062d\u062f\u0627\u0642\u0644 \u062a\u0639\u062f\u0627\u062f \u0627\u0633\u0646\u0627\u062f\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627\u06cc\u062f \u062d\u0627\u0648\u06cc \u0627\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0628\u0627\u0634\u062f.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0627 \u0641\u0642\u0637 \u0622\u0646 \u06a9\u0644\u0645\u0627\u062a\u06cc \u0631\u0627 \u06a9\u0647 \u062d\u062f\u0627\u0642\u0644 \u062f\u0631 5 \u0633\u0646\u062f \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u0631\u0627 \u062f\u0631\u062c \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0628\u0647 \u0637\u0648\u0631 \u0645\u0634\u0627\u0628\u0647\u060c \u0628\u0631\u0627\u06cc <code>max_df<\/code>\u0645\u0642\u062f\u0627\u0631 \u0645\u0634\u062e\u0635\u0647 \u0631\u0648\u06cc 0.7 \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u06a9\u0633\u0631 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u06cc\u06a9 \u062f\u0631\u0635\u062f \u0627\u0633\u062a.  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 0.7 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0628\u0627\u06cc\u062f \u0641\u0642\u0637 \u06a9\u0644\u0645\u0627\u062a\u06cc \u0631\u0627 \u06a9\u0647 \u062d\u062f\u0627\u06a9\u062b\u0631 \u062f\u0631 70\u066a \u0627\u0632 \u06a9\u0644 \u0627\u0633\u0646\u0627\u062f \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f\u060c \u062f\u0631\u062c \u06a9\u0646\u06cc\u0645.  \u06a9\u0644\u0645\u0627\u062a\u06cc \u06a9\u0647 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u062f\u0631 \u0647\u0631 \u0633\u0646\u062f\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u0646\u062f \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u0646\u0627\u0633\u0628 \u0646\u06cc\u0633\u062a\u0646\u062f \u0632\u06cc\u0631\u0627 \u0647\u06cc\u0686 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0633\u0646\u062f \u0627\u0631\u0627\u0626\u0647 \u0646\u0645\u06cc \u062f\u0647\u0646\u062f.<\/p>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a \u0645\u0627 \u0622\u0646 \u0631\u0627 \u062d\u0630\u0641 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Stop_words\">\u06a9\u0644\u0645\u0627\u062a \u0631\u0627 \u0645\u062a\u0648\u0642\u0641 \u06a9\u0646\u06cc\u062f<\/a> \u0627\u0632 \u0645\u062a\u0646 \u0645\u0627\u060c \u0632\u06cc\u0631\u0627\u060c \u062f\u0631 \u0645\u0648\u0631\u062f \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0627\u062d\u0633\u0627\u0633\u0627\u062a\u060c \u06a9\u0644\u0645\u0627\u062a \u062a\u0648\u0642\u0641 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062d\u0627\u0648\u06cc \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u0641\u06cc\u062f\u06cc \u0646\u0628\u0627\u0634\u0646\u062f.  \u0628\u0631\u0627\u06cc \u062d\u0630\u0641 \u06a9\u0644\u0645\u0627\u062a \u062a\u0648\u0642\u0641\u060c \u0627\u0632 \u0622\u0646 \u0639\u0628\u0648\u0631 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>stopwords<\/code> \u0634\u06cc \u0627\u0632 <code>nltk.corpus<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0628\u0647 <code>stop_words<\/code>\u067e\u0627\u0631\u0627\u0645\u062a\u0631.<\/p>\n<p>\u0627\u06cc\u0646 <code>fit_transform<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0632 <code>CountVectorizer<\/code> class \u0627\u0633\u0646\u0627\u062f \u0645\u062a\u0646\u06cc \u0631\u0627 \u0628\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0639\u062f\u062f\u06cc \u0645\u0631\u0628\u0648\u0637\u0647 \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<h4 id=\"findingtfidf\">\u067e\u06cc\u062f\u0627 \u06a9\u0631\u062f\u0646 TFIDF<\/h4>\n<p>\u0631\u0648\u06cc\u06a9\u0631\u062f \u06a9\u06cc\u0633\u0647 \u06a9\u0644\u0645\u0627\u062a \u0628\u0631\u0627\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0645\u062a\u0646 \u0628\u0647 \u0627\u0639\u062f\u0627\u062f \u062e\u0648\u0628 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u06cc\u06a9 \u0627\u06cc\u0631\u0627\u062f \u062f\u0627\u0631\u062f.  \u0628\u0631 \u0627\u0633\u0627\u0633 \u06a9\u0644\u0645\u0647 \u0628\u0647 \u06cc\u06a9 \u0646\u0645\u0631\u0647 \u0627\u0645\u062a\u06cc\u0627\u0632 \u0645\u06cc \u062f\u0647\u062f \u0631\u0648\u06cc \u0648\u0642\u0648\u0639 \u0622\u0646 \u062f\u0631 \u06cc\u06a9 \u0633\u0646\u062f \u062e\u0627\u0635  \u0627\u06cc\u0646 \u0648\u0627\u0642\u0639\u06cc\u062a \u0631\u0627 \u062f\u0631 \u0646\u0638\u0631 \u0646\u0645\u06cc \u06af\u06cc\u0631\u062f \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0627\u06cc\u0646 \u06a9\u0644\u0645\u0647 \u062f\u0631 \u0627\u0633\u0646\u0627\u062f \u062f\u06cc\u06af\u0631 \u0646\u06cc\u0632 \u0641\u0631\u0627\u0648\u0627\u0646\u06cc \u0641\u0631\u0627\u0648\u0627\u0646\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f. <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Tf%E2%80%93idf\">TFIDF<\/a> \u0627\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u0631\u0627 \u0628\u0627 \u0636\u0631\u0628 \u0641\u0631\u06a9\u0627\u0646\u0633 \u0639\u0628\u0627\u0631\u062a \u06cc\u06a9 \u06a9\u0644\u0645\u0647 \u062f\u0631 \u0641\u0631\u06a9\u0627\u0646\u0633 \u0645\u0639\u06a9\u0648\u0633 \u0633\u0646\u062f \u062d\u0644 \u0645\u06cc \u06a9\u0646\u062f.  TF \u0645\u062e\u0641\u0641 &#8220;Term Frequency&#8221; \u0627\u0633\u062a \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 IDF \u0645\u062e\u0641\u0641 &#8220;Inverse Document Frequency&#8221; \u0627\u0633\u062a.<\/p>\n<p>\u0627\u0635\u0637\u0644\u0627\u062d \u0641\u0631\u06a9\u0627\u0646\u0633 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<pre><code class=\"hljs\">Term frequency = (Number of Occurrences of a word)\/(Total words in the document)\n<\/code><\/pre>\n<p>\u0648 \u0641\u0631\u06a9\u0627\u0646\u0633 \u0645\u0639\u06a9\u0648\u0633 \u0633\u0646\u062f \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<pre><code class=\"hljs\">IDF(word) = Log((Total number of documents)\/(Number of documents containing the word))\n<\/code><\/pre>\n<p>\u0645\u0642\u062f\u0627\u0631 TFIDF \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u06a9\u0644\u0645\u0647 \u062f\u0631 \u06cc\u06a9 \u0633\u0646\u062f \u062e\u0627\u0635 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0633\u062a \u0627\u06af\u0631 \u062f\u0641\u0639\u0627\u062a \u0648\u0642\u0648\u0639 \u0622\u0646 \u06a9\u0644\u0645\u0647 \u062f\u0631 \u0622\u0646 \u0633\u0646\u062f \u062e\u0627\u0635 \u0628\u06cc\u0634\u062a\u0631 \u0628\u0627\u0634\u062f \u0627\u0645\u0627 \u062f\u0631 \u0633\u0627\u06cc\u0631 \u0627\u0633\u0646\u0627\u062f \u06a9\u0645\u062a\u0631 \u0628\u0627\u0634\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0628\u0647 \u062f\u0633\u062a \u0622\u0645\u062f\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u06a9\u06cc\u0633\u0647 \u06a9\u0644\u0645\u0627\u062a \u0628\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 TFIDF\u060c \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.feature_extraction.text <span class=\"hljs-keyword\">import<\/span> TfidfTransformer\ntfidfconverter = TfidfTransformer()\nX = tfidfconverter.fit_transform(X).toarray()\n<\/code><\/pre>\n<h5 id=\"note\">\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/h5>\n<p>\u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0633\u0646\u0627\u062f \u0645\u062a\u0646\u06cc \u0631\u0627 \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0628\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0648\u06cc\u0698\u06af\u06cc TFIDF (\u0628\u062f\u0648\u0646 \u062a\u0628\u062f\u06cc\u0644 \u0627\u0633\u0646\u0627\u062f \u0628\u0647 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u06a9\u06cc\u0633\u0647 \u06a9\u0644\u0645\u0627\u062a) \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">from sklearn.feature_extraction.text import TfidfVectorizer\ntfidfconverter = TfidfVectorizer(max_features=1500, min_df=5, max_df=0.7, stop_words=stopwords.words('english'))\nX = tfidfconverter.fit_transform(documents).toarray()\n<\/code><\/pre>\n<h3 id=\"trainingandtestingsets\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d9%87%d8%a7%db%8c_%d8%a2%d9%85%d9%88%d8%b2%d8%b4%db%8c_%d9%88_%d8%aa%d8%b3%d8%aa%db%8c\"><\/span>\u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u062a\u0633\u062a\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0645\u0627\u0646\u0646\u062f \u0647\u0631 \u0645\u0634\u06a9\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u062a\u062d\u062a \u0646\u0638\u0627\u0631\u062a \u062f\u06cc\u06af\u0631\u06cc\u060c \u0645\u0627 \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0645\u0627 \u0627\u0632 <code>train_test_split<\/code> \u0627\u0628\u0632\u0627\u0631 \u0627\u0632 <code>sklearn.model_selection<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.model_selection <span class=\"hljs-keyword\">import<\/span> train_test_split\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=<span class=\"hljs-number\">0.2<\/span>, random_state=<span class=\"hljs-number\">0<\/span>)\n<\/code><\/pre>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 20% \u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0633\u062a \u0648 80% \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<h3 id=\"trainingtextclassificationmodelandpredictingsentiment\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%af%d9%84_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_%d9%85%d8%aa%d9%86_%d8%a2%d9%85%d9%88%d8%b2%d8%b4%db%8c_%d9%88_%d9%be%db%8c%d8%b4_%d8%a8%db%8c%d9%86%db%8c_%d8%a7%d8%ad%d8%b3%d8%a7%d8%b3%d8%a7%d8%aa\"><\/span>\u0645\u062f\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0627\u062d\u0633\u0627\u0633\u0627\u062a<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0645\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645.  \u0627\u06a9\u0646\u0648\u0646 \u0632\u0645\u0627\u0646 \u0622\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0639\u0645\u0644 \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u0645.  \u0645\u0627 \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u062c\u0646\u06af\u0644 \u062a\u0635\u0627\u062f\u0641\u06cc \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u062e\u0648\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.  \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0647\u0631 \u0645\u062f\u0644 \u062f\u06cc\u06af\u0631\u06cc \u06a9\u0647 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc \u06a9\u0646\u06cc\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062e\u0648\u062f \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u062c\u0646\u06af\u0644 \u062a\u0635\u0627\u062f\u0641\u06cc \u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <code>RandomForestClassifier<\/code> \u06a9\u0644\u0627\u0633 \u0627\u0632 <code>sklearn.ensemble<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647  \u0627\u06cc\u0646 <code>fit<\/code> \u0627\u0632 \u0631\u0648\u0634 \u0627\u06cc\u0646 \u06a9\u0644\u0627\u0633 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0645\u0627 \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0647\u062f\u0641 \u0622\u0645\u0648\u0632\u0634\u06cc \u0631\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0631\u0648\u0634 \u0645\u0646\u062a\u0642\u0644 \u06a9\u0646\u06cc\u0645.  \u0628\u0647 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u062f\u0642\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">classifier = RandomForestClassifier(n_estimators=<span class=\"hljs-number\">1000<\/span>, random_state=<span class=\"hljs-number\">0<\/span>)\nclassifier.fit(X_train, y_train) \n<\/code><\/pre>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u0628\u0631\u0627\u06cc \u0645\u062f\u0627\u0631\u06a9 \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062e\u0648\u062f\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>predict<\/code> \u0631\u0648\u0634 \u0627\u0632 <code>RandomForestClassifier<\/code> \u06a9\u0644\u0627\u0633 \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631:<\/p>\n<pre><code class=\"hljs\">y_pred = classifier.predict(X_test)\n<\/code><\/pre>\n<p>\u062a\u0628\u0631\u06cc\u06a9 \u0645\u06cc \u06af\u0648\u06cc\u0645\u060c \u0634\u0645\u0627 \u0627\u0648\u0644\u06cc\u0646 \u0645\u062f\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u0645\u0648\u0641\u0642\u06cc\u062a \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0627\u06cc\u062f \u0648 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627\u06cc\u06cc \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u0647 \u0627\u06cc\u062f.  \u0627\u06a9\u0646\u0648\u0646 \u0632\u0645\u0627\u0646 \u0622\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644\u06cc \u0631\u0627 \u06a9\u0647 \u0628\u0647 \u062a\u0627\u0632\u06af\u06cc \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<h3 id=\"evaluatingthemodel\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b1%d8%b2%db%8c%d8%a7%d8%a8%db%8c_%d9%85%d8%af%d9%84\"><\/span>\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0631\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u06cc\u06a9 \u0645\u062f\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u0627\u0646\u0646\u062f \u0645\u062f\u0644\u06cc \u06a9\u0647 \u0628\u0647 \u062a\u0627\u0632\u06af\u06cc \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0627\u06cc\u0645\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Confusion_matrix\">\u0645\u0627\u062a\u0631\u06cc\u0633 \u0633\u0631\u062f\u0631\u06af\u0645\u06cc<\/a>\u060c <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/F1_score\">\u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc F1<\/a>\u060c \u0648 \u062f\u0642\u062a.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u06cc\u0627\u0641\u062a\u0646 \u0627\u06cc\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>classification_report<\/code>\u060c <code>confusion_matrix<\/code>\u060c \u0648 <code>accuracy_score<\/code> \u0622\u0628 \u0648 \u0628\u0631\u0642 \u0627\u0632 <code>sklearn.metrics<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.metrics <span class=\"hljs-keyword\">import<\/span> classification_report, confusion_matrix, accuracy_score\n\n<span class=\"hljs-built_in\">print<\/span>(confusion_matrix(y_test,y_pred))\n<span class=\"hljs-built_in\">print<\/span>(classification_report(y_test,y_pred))\n<span class=\"hljs-built_in\">print<\/span>(accuracy_score(y_test, y_pred))\n<\/code><\/pre>\n<p>\u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">((180  28)\n ( 30 162))\n             precision    recall  f1-score   support\n\n          0       0.86      0.87      0.86       208\n          1       0.85      0.84      0.85       192\n\navg \/ total       0.85      0.85      0.85       400\n\n0.855\n<\/code><\/pre>\n<p>\u0627\u0632 \u062e\u0631\u0648\u062c\u06cc\u060c \u0645\u06cc \u062a\u0648\u0627\u0646 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0647 \u0645\u062f\u0644 \u0645\u0627 \u0628\u0647 \u062f\u0642\u062a 85.5 \u062f\u0631\u0635\u062f \u062f\u0633\u062a \u06cc\u0627\u0641\u062a\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0627\u06cc\u0646 \u0648\u0627\u0642\u0639\u06cc\u062a \u06a9\u0647 \u0645\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062a\u0635\u0627\u062f\u0641\u06cc \u062a\u0645\u0627\u0645 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0631\u062f\u06cc\u0645\u060c \u0628\u0633\u06cc\u0627\u0631 \u062e\u0648\u0628 \u0627\u0633\u062a. <code>CountVectorizer<\/code> \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0631\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u062c\u0646\u06af\u0644 \u062a\u0635\u0627\u062f\u0641\u06cc \u0645\u0627.<\/p>\n<h3 id=\"savingandloadingthemodel\"><span class=\"ez-toc-section\" id=\"%d8%b0%d8%ae%db%8c%d8%b1%d9%87_%d9%88_%d8%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c_%d9%85%d8%af%d9%84\"><\/span>\u0630\u062e\u06cc\u0631\u0647 \u0648 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u062f\u0644<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627\u060c \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0645\u0627 \u0632\u0645\u0627\u0646 \u0632\u06cc\u0627\u062f\u06cc \u0631\u0627 \u0635\u0631\u0641 \u0646\u06a9\u0631\u062f.  \u06cc\u06a9\u06cc \u0627\u0632 \u062f\u0644\u0627\u06cc\u0644 \u0632\u0645\u0627\u0646 \u062a\u0645\u0631\u06cc\u0646 \u0633\u0631\u06cc\u0639 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0646\u0633\u0628\u062a\u0627\u064b \u06a9\u0648\u0686\u06a9\u062a\u0631\u06cc \u062f\u0627\u0634\u062a\u06cc\u0645.  \u0645\u0627 2000 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0634\u062a\u06cc\u0645 \u06a9\u0647 80 \u062f\u0631\u0635\u062f \u0622\u0646 (1600) \u0631\u0627 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u06cc\u0645.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u062f\u0631 \u0633\u0646\u0627\u0631\u06cc\u0648\u0647\u0627\u06cc \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc\u060c \u0645\u06cc\u0644\u06cc\u0648\u0646 \u0647\u0627 \u0633\u0646\u062f \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0648\u062c\u0648\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f.  \u062f\u0631 \u0686\u0646\u06cc\u0646 \u0645\u0648\u0627\u0631\u062f\u06cc\u060c \u0622\u0645\u0648\u0632\u0634 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0633\u0627\u0639\u062a\u200c\u0647\u0627 \u06cc\u0627 \u062d\u062a\u06cc \u0631\u0648\u0632\u0647\u0627 (\u0627\u06af\u0631 \u0645\u0627\u0634\u06cc\u0646\u200c\u0647\u0627\u06cc \u06a9\u0646\u062f\u062a\u0631\u06cc \u062f\u0627\u0631\u06cc\u062f) \u0637\u0648\u0644 \u0628\u06a9\u0634\u062f.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc \u0634\u0648\u062f \u067e\u0633 \u0627\u0632 \u0622\u0645\u0648\u0632\u0634\u060c \u0645\u062f\u0644 \u0631\u0627 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u062f\u0644 \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u0645 <code>pickle<\/code> \u0634\u06cc \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">with<\/span> <span class=\"hljs-built_in\">open<\/span>(<span class=\"hljs-string\">'text_classifier'<\/span>, <span class=\"hljs-string\">'wb'<\/span>) <span class=\"hljs-keyword\">as<\/span> picklefile:\n    pickle.dump(classifier,picklefile)\n<\/code><\/pre>\n<p>\u067e\u0633 \u0627\u0632 \u0627\u062c\u0631\u0627\u06cc \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f <code>text_classifier<\/code> \u0641\u0627\u06cc\u0644 \u062f\u0631 \u062f\u0627\u06cc\u0631\u06a9\u062a\u0648\u0631\u06cc \u06a9\u0627\u0631\u06cc \u0634\u0645\u0627  \u0645\u0627 \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634\u200c\u062f\u06cc\u062f\u0647 \u062e\u0648\u062f \u0631\u0627 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645 \u0648 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0639\u062f\u0627\u064b \u0627\u0632 \u0622\u0646 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0645\u0633\u062a\u0642\u06cc\u0645\u060c \u0628\u062f\u0648\u0646 \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u062f\u0644 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u06a9\u062f \u0632\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">with<\/span> <span class=\"hljs-built_in\">open<\/span>(<span class=\"hljs-string\">'text_classifier'<\/span>, <span class=\"hljs-string\">'rb'<\/span>) <span class=\"hljs-keyword\">as<\/span> training_model:\n    model = pickle.load(training_model)\n<\/code><\/pre>\n<p>\u0645\u0627 \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u062e\u0648\u062f \u0631\u0627 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06a9\u0631\u062f\u06cc\u0645 \u0648 \u062f\u0631 \u0622\u0646 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0631\u062f\u06cc\u0645 <code>model<\/code> \u0645\u062a\u063a\u06cc\u0631.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0633\u062a \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0622\u06cc\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0647\u0645\u0627\u0646 \u0646\u062a\u0627\u06cc\u062c \u0631\u0627 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">y_pred2 = model.predict(X_test)\n\n<span class=\"hljs-built_in\">print<\/span>(confusion_matrix(y_test, y_pred2))\n<span class=\"hljs-built_in\">print<\/span>(classification_report(y_test, y_pred2))\n<span class=\"hljs-built_in\">print<\/span>(accuracy_score(y_test, y_pred2)) \n<\/code><\/pre>\n<p>\u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">((180  28)\n ( 30 162))\n             precision    recall  f1-score   support\n\n          0       0.86      0.87      0.86       208\n          1       0.85      0.84      0.85       192\n\navg \/ total       0.85      0.85      0.85       400\n\n0.855\n<\/code><\/pre>\n<p>\u062e\u0631\u0648\u062c\u06cc \u0645\u0634\u0627\u0628\u0647 \u0647\u0645\u0627\u0646 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0642\u0628\u0644\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0631\u062f\u06cc\u0645 \u06a9\u0647 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f \u0645\u0627 \u0628\u0627 \u0645\u0648\u0641\u0642\u06cc\u062a \u0645\u062f\u0644 \u0631\u0627 \u0630\u062e\u06cc\u0631\u0647 \u0648 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06a9\u0631\u062f\u06cc\u0645.<\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87\"><\/span>\u0646\u062a\u06cc\u062c\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u06cc\u06a9\u06cc \u0627\u0632 \u0631\u0627\u06cc\u062c \u062a\u0631\u06cc\u0646 \u06a9\u0627\u0631\u0647\u0627\u06cc NLP \u0627\u0633\u062a.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u06cc\u06a9 \u0645\u062b\u0627\u0644 \u0633\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u0634 \u0627\u0646\u062c\u0627\u0645 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0631\u0627 \u062f\u06cc\u062f\u06cc\u0645.  \u0645\u0627 \u062a\u062d\u0644\u06cc\u0644 \u0627\u062d\u0633\u0627\u0633\u0627\u062a\u06cc \u0646\u0642\u062f\u0647\u0627\u06cc \u0641\u06cc\u0644\u0645 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u06cc\u0645.<\/p>\n<p>\u0645\u0646 \u0628\u0647 \u0634\u0645\u0627 \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc \u06a9\u0646\u0645 \u06a9\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u06cc\u06af\u0631\u06cc \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f \u062a\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f \u0622\u06cc\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0639\u0645\u0644\u06a9\u0631\u062f \u0631\u0627 \u0628\u0647\u0628\u0648\u062f \u0628\u0628\u062e\u0634\u06cc\u062f \u06cc\u0627 \u062e\u06cc\u0631.  \u0647\u0645\u0686\u0646\u06cc\u0646 \u0633\u0639\u06cc \u06a9\u0646\u06cc\u062f \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc the \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f <code>CountVectorizer<\/code>\u06a9\u0644\u0627\u0633 \u0628\u0631\u0627\u06cc \u062f\u06cc\u062f\u0646 \u0627\u06cc\u0646\u06a9\u0647 \u0622\u06cc\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u067e\u06cc\u0634\u0631\u0641\u062a\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f.<\/p>\n<\/div>\n<p><script>\n                        !function(f,b,e,v,n,t,s)\n                        {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n                        n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n                        if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n                        n.queue=();t=b.createElement(e);t.async=!0;\n                        t.src=v;s=b.getElementsByTagName(e)(0);\n                        s.parentNode.insertBefore(t,s)}(window, document,'script',\n                        'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n                        fbq('init', '525232124909042');\n                        fbq('track', 'PageView');\n                    <\/script>    (\u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627 \u0628\u0647 \u062a\u0631\u062c\u0645\u0647)# python<br \/>\n<br \/><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-01-27 12:46:04<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;16587&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628&quot;,&quot;legend&quot;:&quot;0\\\/5 (0 \u0631\u0627\u06cc)&quot;,&quot;size&quot;:&quot;30&quot;,&quot;title&quot;:&quot;\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u0628\u0627 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 Scikit-Learn&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} ({count} \u0631\u0627\u06cc)&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 24px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 9<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0647\u0645\u062a\u0631\u06cc\u0646 \u0648\u0638\u0627\u06cc\u0641 \u062f\u0631 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u0627\u0633\u062a. \u0622\u0646 \u0627\u0633\u062a process \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0631\u0634\u062a\u0647 \u0647\u0627\u06cc \u0645\u062a\u0646\u06cc \u06cc\u0627 \u0627\u0633\u0646\u0627\u062f \u0628\u0647 \u062f\u0633\u062a\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u060c \u0628\u0633\u062a\u0647 \u0628\u0647 \u0645\u062d\u062a\u0648\u0627\u06cc \u0631\u0634\u062a\u0647 \u0647\u0627. \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u062f\u0627\u0631\u062f\u060c \u0645\u0627\u0646\u0646\u062f \u062a\u0634\u062e\u06cc\u0635 \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u06a9\u0627\u0631\u0628\u0631 \u0627\u0632 \u062a\u0648\u06cc\u06cc\u062a\u060c \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0627\u06cc\u0645\u06cc\u0644 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0647\u0631\u0632\u0646\u0627\u0645\u0647 \u06cc\u0627 ham\u060c \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u067e\u0633\u062a\u200c\u0647\u0627\u06cc \u0648\u0628\u0644\u0627\u06af \u062f\u0631 \u062f\u0633\u062a\u0647\u200c\u0647\u0627\u06cc [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":16588,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-16587","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-programming"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16587","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=16587"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16587\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/16588"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=16587"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=16587"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=16587"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}