{"id":16302,"date":"2024-01-23T05:54:10","date_gmt":"2024-01-23T02:24:10","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-nlp-%d8%b4%d8%b1%d9%88%d8%b9-%d8%a8%d9%87-%da%a9%d8%a7%d8%b1-%d8%a8%d8%a7-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-stanfordcorenl\/"},"modified":"2024-01-23T05:54:10","modified_gmt":"2024-01-23T02:24:10","slug":"%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-nlp-%d8%b4%d8%b1%d9%88%d8%b9-%d8%a8%d9%87-%da%a9%d8%a7%d8%b1-%d8%a8%d8%a7-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-stanfordcorenl","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-nlp-%d8%b4%d8%b1%d9%88%d8%b9-%d8%a8%d9%87-%da%a9%d8%a7%d8%b1-%d8%a8%d8%a7-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-stanfordcorenl\/","title":{"rendered":"\u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc NLP: \u0634\u0631\u0648\u0639 \u0628\u0647 \u06a9\u0627\u0631 \u0628\u0627 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 StanfordCoreNLP"},"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\/%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-nlp-%d8%b4%d8%b1%d9%88%d8%b9-%d8%a8%d9%87-%da%a9%d8%a7%d8%b1-%d8%a8%d8%a7-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-stanfordcorenl\/#%d8%b1%d8%a7%d9%87_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%db%8c_%d9%85%d8%ad%db%8c%d8%b7_%d8%b2%db%8c%d8%b3%d8%aa\" >\u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u0645\u062d\u06cc\u0637 \u0632\u06cc\u0633\u062a<\/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\/%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-nlp-%d8%b4%d8%b1%d9%88%d8%b9-%d8%a8%d9%87-%da%a9%d8%a7%d8%b1-%d8%a8%d8%a7-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-stanfordcorenl\/#%d8%a7%d9%86%d8%ac%d8%a7%d9%85_%d9%88%d8%b8%d8%a7%db%8c%d9%81_nlp\" >\u0627\u0646\u062c\u0627\u0645 \u0648\u0638\u0627\u06cc\u0641 NLP<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-nlp-%d8%b4%d8%b1%d9%88%d8%b9-%d8%a8%d9%87-%da%a9%d8%a7%d8%b1-%d8%a8%d8%a7-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-stanfordcorenl\/#lemmatization%d8%8c_pos_tagging_%d9%88_named_entity_recognition\" >Lemmatization\u060c POS Tagging \u0648 Named Entity Recognition<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-nlp-%d8%b4%d8%b1%d9%88%d8%b9-%d8%a8%d9%87-%da%a9%d8%a7%d8%b1-%d8%a8%d8%a7-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-stanfordcorenl\/#%d8%aa%d8%ad%d9%84%db%8c%d9%84_%d8%a7%d8%ad%d8%b3%d8%a7%d8%b3%d8%a7%d8%aa\" >\u062a\u062d\u0644\u06cc\u0644 \u0627\u062d\u0633\u0627\u0633\u0627\u062a<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-nlp-%d8%b4%d8%b1%d9%88%d8%b9-%d8%a8%d9%87-%da%a9%d8%a7%d8%b1-%d8%a8%d8%a7-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-stanfordcorenl\/#%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\"> 7<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<p>\u0627\u06cc\u0646 \u0646\u0647\u0645\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0627\u0632 \u0633\u0631\u06cc \u0645\u0642\u0627\u0644\u0627\u062a \u0645\u0646 \u0627\u0633\u062a \u0631\u0648\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc NLP.  \u062f\u0631 \u0645\u0642\u0627\u0644\u0647 \u0642\u0628\u0644\u06cc\u060c \u062f\u06cc\u062f\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Pattern Python \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u0646\u0648\u0627\u0639 \u0648\u0638\u0627\u06cc\u0641 NLP \u0627\u0632 \u062a\u0648\u06a9\u0646\u200c\u0633\u0627\u0632\u06cc \u062a\u0627 \u0628\u0631\u0686\u0633\u0628\u200c\u06af\u0630\u0627\u0631\u06cc POS \u0648 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u062a\u0627 \u062a\u062d\u0644\u06cc\u0644 \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.  \u0642\u0628\u0644 \u0627\u0632 \u0622\u0646\u060c \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 TextBlob \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0648\u0638\u0627\u06cc\u0641 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u0645\u0634\u0627\u0628\u0647 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0631\u062f\u06cc\u0645.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0628\u0631\u0631\u0633\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u067e\u0631\u062f\u0627\u062e\u062a <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/stanfordnlp.github.io\/CoreNLP\/index.html\">StanfordCoreNLP<\/a> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u06a9\u0647 \u06cc\u06a9\u06cc \u062f\u06cc\u06af\u0631 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0645\u0641\u06cc\u062f \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u0627\u0633\u062a.  \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 StanfordCoreNLP \u0631\u0627 \u0628\u0627 \u06a9\u0645\u06a9 \u0645\u062b\u0627\u0644 \u0647\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0642\u0628\u0644 \u0627\u0632 \u0627\u062a\u0644\u0627\u0641 \u0648\u0642\u062a \u0628\u06cc\u0634\u062a\u0631\u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645.<\/p>\n<h2 id=\"settinguptheenvironment\"><span class=\"ez-toc-section\" id=\"%d8%b1%d8%a7%d9%87_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%db%8c_%d9%85%d8%ad%db%8c%d8%b7_%d8%b2%db%8c%d8%b3%d8%aa\"><\/span>\u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u0645\u062d\u06cc\u0637 \u0632\u06cc\u0633\u062a<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0646\u0635\u0628 process \u0632\u06cc\u0631\u0627 StanfordCoreNLP \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u0633\u0627\u06cc\u0631 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0633\u0627\u062f\u0647 \u0646\u06cc\u0633\u062a.  \u062f\u0631 \u0648\u0627\u0642\u0639\u060c StanfordCoreNLP \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0648\u0627\u0642\u0639 \u0628\u0647 \u0632\u0628\u0627\u0646 \u062c\u0627\u0648\u0627 \u0646\u0648\u0634\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0637\u0645\u0626\u0646 \u0634\u0648\u06cc\u062f \u06a9\u0647 \u062c\u0627\u0648\u0627 \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f \u0631\u0648\u06cc \u0633\u06cc\u0633\u062a\u0645 \u0634\u0645\u0627  \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/www.java.com\/en\/download\/\">\u0622\u062e\u0631\u06cc\u0646 \u0646\u0633\u062e\u0647 \u062c\u0627\u0648\u0627<\/a> \u0622\u0632\u0627\u062f\u0627\u0646\u0647<\/p>\n<p>\u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u062c\u0627\u0648\u0627 \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0631\u062f\u06cc\u062f\u060c \u0628\u0627\u06cc\u062f \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc JAR \u0631\u0627 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc StanfordCoreNLP \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f.  \u0641\u0627\u06cc\u0644 JAR \u0634\u0627\u0645\u0644 \u0645\u062f\u0644 \u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0648\u0638\u0627\u06cc\u0641 \u0645\u062e\u062a\u0644\u0641 NLP \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0628\u0631\u0627\u06cc \u062f\u0627\u0646\u0644\u0648\u062f \u0641\u0627\u06cc\u0644\u200c\u0647\u0627\u06cc JAR \u0628\u0631\u0627\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc\u060c \u067e\u0648\u0634\u0647 \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0622\u062f\u0631\u0633 \u0631\u0627 \u062f\u0627\u0646\u0644\u0648\u062f \u0648 \u0627\u0632 \u062d\u0627\u0644\u062a \u0641\u0634\u0631\u062f\u0647 \u062e\u0627\u0631\u062c \u06a9\u0646\u06cc\u062f <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/stanfordnlp.github.io\/CoreNLP\/download.html\">\u0648\u0628 \u0633\u0627\u06cc\u062a \u0631\u0633\u0645\u06cc StanfordCoreNLP<\/a>.<\/p>\n<p>\u06a9\u0627\u0631\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0633\u0631\u0648\u0631\u06cc \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u0647\u0627\u06cc \u0627\u0631\u0633\u0627\u0644 \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 \u067e\u0648\u0634\u0634 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0631\u0627 \u0628\u0647 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 StanfordCoreNLP \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u06a9\u0646\u062f.  \u0628\u0647 \u0645\u0633\u06cc\u0631\u06cc \u0628\u0631\u0648\u06cc\u062f \u06a9\u0647 \u067e\u0648\u0634\u0647 \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc JAR \u0631\u0627 \u0627\u0632 \u062d\u0627\u0644\u062a \u0641\u0634\u0631\u062f\u0647 \u062e\u0627\u0631\u062c \u06a9\u0631\u062f\u06cc\u062f.  \u062f\u0627\u062e\u0644 \u067e\u0648\u0634\u0647 \u0631\u0641\u062a\u0647 \u0648 \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f \u0631\u0648\u06cc \u062e\u0637 \u0641\u0631\u0645\u0627\u0646:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> java -mx6g -cp <span class=\"hljs-string\">\"*\"<\/span> edu.stanford.nlp.pipeline.StanfordCoreNLPServer -timeout 10000<\/span>\n<\/code><\/pre>\n<p>\u062f\u0633\u062a\u0648\u0631 \u0628\u0627\u0644\u0627 \u0633\u0631\u0648\u0631 StanfordCoreNLP \u0631\u0627 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u0645\u06cc \u06a9\u0646\u062f.  \u067e\u0627\u0631\u0627\u0645\u062a\u0631 <code>-mx6g<\/code> \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u062d\u0627\u0641\u0638\u0647 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0633\u0631\u0648\u0631 \u0646\u0628\u0627\u06cc\u062f \u0628\u06cc\u0634 \u0627\u0632 6 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a \u0628\u0627\u0634\u062f.  \u0630\u06a9\u0631 \u0627\u06cc\u0646 \u0646\u06a9\u062a\u0647 \u0636\u0631\u0648\u0631\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0634\u0645\u0627 \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u0633\u06cc\u0633\u062a\u0645 64 \u0628\u06cc\u062a\u06cc \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f \u062a\u0627 \u062d\u062c\u0645\u06cc \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 6 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f.  \u0627\u06af\u0631 \u0627\u0632 \u06cc\u06a9 \u0633\u06cc\u0633\u062a\u0645 32 \u0628\u06cc\u062a\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0645\u062c\u0628\u0648\u0631 \u0634\u0648\u06cc\u062f \u062d\u062c\u0645 \u062d\u0627\u0641\u0638\u0647 \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0628\u0647 \u0633\u0631\u0648\u0631 \u0631\u0627 \u06a9\u0627\u0647\u0634 \u062f\u0647\u06cc\u062f.<\/p>\n<p>\u067e\u0633 \u0627\u0632 \u0627\u062c\u0631\u0627\u06cc \u062f\u0633\u062a\u0648\u0631 \u0628\u0627\u0644\u0627\u060c \u0628\u0627\u06cc\u062f \u062e\u0631\u0648\u062c\u06cc \u0632\u06cc\u0631 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">(main) INFO CoreNLP - --- StanfordCoreNLPServer#main() called ---\n(main) INFO CoreNLP - setting default constituency parser\n(main) INFO CoreNLP - warning: cannot find edu\/stanford\/nlp\/models\/srparser\/englishSR.ser.gz\n(main) INFO CoreNLP - using: edu\/stanford\/nlp\/models\/lexparser\/englishPCFG.ser.gz instead\n(main) INFO CoreNLP - to use shift reduce parser download English models jar from:\n(main) INFO CoreNLP - http:\/\/stanfordnlp.github.io\/CoreNLP\/download.html\n(main) INFO CoreNLP -     Threads: 8\n(main) INFO CoreNLP - Starting server...\n(main) INFO CoreNLP - StanfordCoreNLPServer listening at \/0:0:0:0:0:0:0:0:9000\n<\/code><\/pre>\n<p>\u0633\u0631\u0648\u0631 \u062f\u0631 \u067e\u0648\u0631\u062a 9000 \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0645\u0631\u062d\u0644\u0647 \u0622\u062e\u0631 \u0646\u0635\u0628 \u067e\u0648\u0634\u0634 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 StanfordCoreNLP \u0627\u0633\u062a.  \u0644\u0641\u0627\u0641\u06cc \u06a9\u0647 \u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a <code>pycorenlp<\/code>.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 wrapper \u0631\u0627 \u062f\u0627\u0646\u0644\u0648\u062f \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> pip install pycorenlp<\/span>\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0647\u0645\u0647 \u0645\u0627 \u0622\u0645\u0627\u062f\u0647 \u0647\u0633\u062a\u06cc\u0645 \u062a\u0627 \u0628\u0647 \u0633\u0631\u0648\u0631 StanfordCoreNLP \u0645\u062a\u0635\u0644 \u0634\u0648\u06cc\u0645 \u0648 \u0648\u0638\u0627\u06cc\u0641 NLP \u0645\u0648\u0631\u062f \u0646\u0638\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u062a\u0635\u0627\u0644 \u0628\u0647 \u0633\u0631\u0648\u0631\u060c \u0628\u0627\u06cc\u062f \u0622\u062f\u0631\u0633 \u0633\u0631\u0648\u0631 StanfordCoreNLP \u0631\u0627 \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u0645\u0642\u062f\u0627\u0631\u062f\u0647\u06cc \u0627\u0648\u0644\u06cc\u0647 \u06a9\u0631\u062f\u0647 \u0628\u0648\u062f\u06cc\u0645\u060c \u0628\u0647 \u0633\u0631\u0648\u0631 \u0645\u0646\u062a\u0642\u0644 \u06a9\u0646\u06cc\u0645. <code>StanfordCoreNLP<\/code> \u06a9\u0644\u0627\u0633 \u0627\u0632 <code>pycorenlp<\/code> \u0645\u062f\u0648\u0644.  \u0633\u067e\u0633 \u0634\u06cc\u0621 \u0628\u0631\u06af\u0634\u062a\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0648\u0638\u0627\u06cc\u0641 NLP \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f.  \u0628\u0647 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> pycorenlp <span class=\"hljs-keyword\">import<\/span> StanfordCoreNLP\n\nnlp_wrapper = StanfordCoreNLP(<span class=\"hljs-string\">'http:\/\/localhost:9000'<\/span>)\n<\/code><\/pre>\n<h2 id=\"performingnlptasks\"><span class=\"ez-toc-section\" id=\"%d8%a7%d9%86%d8%ac%d8%a7%d9%85_%d9%88%d8%b8%d8%a7%db%8c%d9%81_nlp\"><\/span>\u0627\u0646\u062c\u0627\u0645 \u0648\u0638\u0627\u06cc\u0641 NLP<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634\u060c \u0628\u0647 \u0637\u0648\u0631 \u0645\u062e\u062a\u0635\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 StanfordCoreNLP \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0648\u0638\u0627\u06cc\u0641 \u0631\u0627\u06cc\u062c NLP \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<h3 id=\"lemmatizationpostaggingandnamedentityrecognition\"><span class=\"ez-toc-section\" id=\"lemmatization%d8%8c_pos_tagging_%d9%88_named_entity_recognition\"><\/span>Lemmatization\u060c POS Tagging \u0648 Named Entity Recognition<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Lemmatization\u060c \u0628\u062e\u0634\u200c\u0647\u0627\u06cc\u06cc \u0627\u0632 \u0628\u0631\u0686\u0633\u0628\u200c\u06af\u0630\u0627\u0631\u06cc \u06af\u0641\u062a\u0627\u0631\u060c \u0648 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0645\u0648\u062c\u0648\u062f\u06cc\u062a \u0646\u0627\u0645\u200c\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0627\u0628\u062a\u062f\u0627\u06cc\u06cc\u200c\u062a\u0631\u06cc\u0646 \u0648\u0638\u0627\u06cc\u0641 NLP \u0647\u0633\u062a\u0646\u062f.  \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 StanfordCoreNLP \u0627\u0632 \u0639\u0645\u0644\u06a9\u0631\u062f \u062e\u0637 \u0644\u0648\u0644\u0647 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u0648\u0638\u0627\u06cc\u0641 \u0628\u0647 \u0631\u0648\u0634\u06cc \u0633\u0627\u062e\u062a\u0627\u0631\u06cc\u0627\u0641\u062a\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631\u060c \u06cc\u06a9 \u062d\u0627\u0634\u06cc\u0647 \u0646\u0648\u06cc\u0633 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0627\u0628\u062a\u062f\u0627 \u06cc\u06a9 \u0633\u0646\u062f \u0631\u0627 \u0628\u0647 \u062c\u0645\u0644\u0627\u062a \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0633\u067e\u0633 \u062c\u0645\u0644\u0627\u062a \u0631\u0627 \u0628\u0647 \u06a9\u0644\u0645\u0627\u062a \u06cc\u0627 \u0646\u0634\u0627\u0646\u0647 \u0647\u0627 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f.  \u0633\u067e\u0633 \u06a9\u0644\u0645\u0627\u062a \u0628\u0627 POS \u062d\u0627\u0634\u06cc\u0647 \u0646\u0648\u06cc\u0633\u06cc \u0645\u06cc \u0634\u0648\u0646\u062f \u0648 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0645\u0648\u062c\u0648\u062f\u06cc\u062a \u0646\u0627\u0645\u06af\u0630\u0627\u0631\u06cc \u0645\u06cc \u0634\u0648\u0646\u062f.<\/p>\n<pre><code class=\"hljs\">doc = <span class=\"hljs-string\">\"Ronaldo has moved from Real Madrid to Juventus. While messi still plays for Barcelona\"<\/span>\nannot_doc = nlp_wrapper.annotate(doc,\n    properties={\n        <span class=\"hljs-string\">'annotators'<\/span>: <span class=\"hljs-string\">'ner, pos'<\/span>,\n        <span class=\"hljs-string\">'outputFormat'<\/span>: <span class=\"hljs-string\">'json'<\/span>,\n        <span class=\"hljs-string\">'timeout'<\/span>: <span class=\"hljs-number\">1000<\/span>,\n    })\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u06cc\u06a9 \u0633\u0646\u062f \u0628\u0627 \u062f\u0648 \u062c\u0645\u0644\u0647 \u062f\u0627\u0631\u06cc\u0645.  \u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>annotate<\/code> \u0645\u062a\u062f \u0634\u06cc\u0621 wrapper StanfordCoreNLP \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u0645\u0642\u062f\u0627\u0631\u062f\u0647\u06cc \u0627\u0648\u0644\u06cc\u0647 \u06a9\u0631\u062f\u06cc\u0645.  \u0627\u06cc\u0646 \u0631\u0648\u0634 \u0633\u0647 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u062f\u0627\u0631\u062f.  \u0627\u06cc\u0646 <code>annotator<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0646\u0648\u0639 \u062d\u0627\u0634\u06cc\u0647 \u0646\u0648\u06cc\u0633\u06cc \u0631\u0627 \u0645\u06cc \u06af\u06cc\u0631\u062f \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645 \u0631\u0648\u06cc \u0645\u062a\u0646.  \u0639\u0628\u0648\u0631 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>'ner, pos'<\/code> \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0627\u0631\u0632\u0634 \u0628\u0631\u0627\u06cc <code>annotator<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u06cc \u06a9\u0647 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f \u0645\u0627 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0633\u0646\u062f \u062e\u0648\u062f \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u06af \u0647\u0627\u06cc POS \u0648 \u0645\u0648\u062c\u0648\u062f\u06cc\u062a \u0647\u0627\u06cc \u0646\u0627\u0645 \u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u062d\u0627\u0634\u06cc\u0647 \u0646\u0648\u06cc\u0633\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0627\u06cc\u0646 <code>outputFormat<\/code> \u0645\u062a\u063a\u06cc\u0631 \u0642\u0627\u0644\u0628\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0645\u062a\u0646 \u062d\u0627\u0634\u06cc\u0647 \u0646\u0648\u06cc\u0633\u06cc \u0634\u062f\u0647 \u0631\u0627 \u062f\u0631 \u0622\u0646 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0646\u06cc\u062f.  \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0645\u06a9\u0646 \u0647\u0633\u062a\u0646\u062f <code>json<\/code> \u0628\u0631\u0627\u06cc \u0627\u0634\u06cc\u0627\u0621 JSON\u060c <code>xml<\/code> \u0628\u0631\u0627\u06cc \u0641\u0631\u0645\u062a XML\u060c <code>text<\/code> \u0628\u0631\u0627\u06cc \u0645\u062a\u0646 \u0633\u0627\u062f\u0647 \u0648 <code>serialize<\/code> \u0628\u0631\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0633\u0631\u06cc\u0627\u0644\u06cc<\/p>\n<p>\u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0646\u0647\u0627\u06cc\u06cc\u060c \u0645\u0647\u0644\u062a \u0632\u0645\u0627\u0646\u06cc \u0628\u0631 \u062d\u0633\u0628 \u0645\u06cc\u0644\u06cc \u062b\u0627\u0646\u06cc\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0632\u0645\u0627\u0646\u06cc \u0631\u0627 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 wrapper \u0628\u0627\u06cc\u062f \u0642\u0628\u0644 \u0627\u0632 \u0627\u062a\u0645\u0627\u0645 \u0632\u0645\u0627\u0646 \u0645\u0646\u062a\u0638\u0631 \u067e\u0627\u0633\u062e \u0627\u0632 \u0637\u0631\u0641 \u0633\u0631\u0648\u0631 \u0628\u0627\u0634\u062f.<\/p>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u0634\u06cc JSON \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><p>\n<code class=\"hljs json\">\n{'sentences': ({'index': 0,\n   'entitymentions': ({'docTokenBegin': 0,\n     'docTokenEnd': 1,\n     'tokenBegin': 0,\n     'tokenEnd': 1,\n     'text': 'Ronaldo',\n     'characterOffsetBegin': 0,\n     'characterOffsetEnd': 7,\n     'ner': 'PERSON'},\n    {'docTokenBegin': 4,\n     'docTokenEnd': 6,\n     'tokenBegin': 4,\n     'tokenEnd': 6,\n     'text': 'Real Madrid',\n     'characterOffsetBegin': 23,\n     'characterOffsetEnd': 34,\n     'ner': 'ORGANIZATION'},\n    {'docTokenBegin': 7,\n     'docTokenEnd': 8,\n     'tokenBegin': 7,\n     'tokenEnd': 8,\n     'text': 'Juventus',\n     'characterOffsetBegin': 38,\n     'characterOffsetEnd': 46,\n     'ner': 'ORGANIZATION'}),\n   'tokens': ({'index': 1,\n     'word': 'Ronaldo',\n     'originalText': 'Ronaldo',\n     'lemma': 'Ronaldo',\n     'characterOffsetBegin': 0,\n     'characterOffsetEnd': 7,\n     'pos': 'NNP',\n     'ner': 'PERSON',\n     'before': '',\n     'after': ' '},\n    {'index': 2,\n     'word': 'has',\n     'originalText': 'has',\n     'lemma': 'have',\n     'characterOffsetBegin': 8,\n     'characterOffsetEnd': 11,\n     'pos': 'VBZ',\n     'ner': 'O',\n     'before': ' ',\n     'after': ' '},\n    {'index': 3,\n     'word': 'moved',\n     'originalText': 'moved',\n     'lemma': 'move',\n     'characterOffsetBegin': 12,\n     'characterOffsetEnd': 17,\n     'pos': 'VBN',\n     'ner': 'O',\n     'before': ' ',\n     'after': ' '},\n    {'index': 4,\n     'word': 'from',\n     'originalText': 'from',\n     'lemma': 'from',\n     'characterOffsetBegin': 18,\n     'characterOffsetEnd': 22,\n     'pos': 'IN',\n     'ner': 'O',\n     'before': ' ',\n     'after': ' '},\n    {'index': 5,\n     'word': 'Real',\n     'originalText': 'Real',\n     'lemma': 'real',\n     'characterOffsetBegin': 23,\n     'characterOffsetEnd': 27,\n     'pos': 'JJ',\n     'ner': 'ORGANIZATION',\n     'before': ' ',\n     'after': ' '},\n    {'index': 6,\n     'word': 'Madrid',\n     'originalText': 'Madrid',\n     'lemma': 'Madrid',\n     'characterOffsetBegin': 28,\n     'characterOffsetEnd': 34,\n     'pos': 'NNP',\n     'ner': 'ORGANIZATION',\n     'before': ' ',\n     'after': ' '},\n    {'index': 7,\n     'word': 'to',\n     'originalText': 'to',\n     'lemma': 'to',\n     'characterOffsetBegin': 35,\n     'characterOffsetEnd': 37,\n     'pos': 'TO',\n     'ner': 'O',\n     'before': ' ',\n     'after': ' '},\n    {'index': 8,\n     'word': 'Juventus',\n     'originalText': 'Juventus',\n     'lemma': 'Juventus',\n     'characterOffsetBegin': 38,\n     'characterOffsetEnd': 46,\n     'pos': 'NNP',\n     'ner': 'ORGANIZATION',\n     'before': ' ',\n     'after': ''},\n    {'index': 9,\n     'word': '.',\n     'originalText': '.',\n     'lemma': '.',\n     'characterOffsetBegin': 46,\n     'characterOffsetEnd': 47,\n     'pos': '.',\n     'ner': 'O',\n     'before': '',\n     'after': ' '})},\n  {'index': 1,\n   'entitymentions': ({'docTokenBegin': 14,\n     'docTokenEnd': 15,\n     'tokenBegin': 5,\n     'tokenEnd': 6,\n     'text': 'Barcelona',\n     'characterOffsetBegin': 76,\n     'characterOffsetEnd': 85,\n     'ner': 'ORGANIZATION'}),\n   'tokens': ({'index': 1,\n     'word': 'While',\n     'originalText': 'While',\n     'lemma': 'while',\n     'characterOffsetBegin': 48,\n     'characterOffsetEnd': 53,\n     'pos': 'IN',\n     'ner': 'O',\n     'before': ' ',\n     'after': ' '},\n    {'index': 2,\n     'word': 'messi',\n     'originalText': 'messi',\n     'lemma': 'messus',\n     'characterOffsetBegin': 54,\n     'characterOffsetEnd': 59,\n     'pos': 'NNS',\n     'ner': 'O',\n     'before': ' ',\n     'after': ' '},\n    {'index': 3,\n     'word': 'still',\n     'originalText': 'still',\n     'lemma': 'still',\n     'characterOffsetBegin': 60,\n     'characterOffsetEnd': 65,\n     'pos': 'RB',\n     'ner': 'O',\n     'before': ' ',\n     'after': ' '},\n    {'index': 4,\n     'word': 'plays',\n     'originalText': 'plays',\n     'lemma': 'play',\n     'characterOffsetBegin': 66,\n     'characterOffsetEnd': 71,\n     'pos': 'VBZ',\n     'ner': 'O',\n     'before': ' ',\n     'after': ' '},\n    {'index': 5,\n     'word': 'for',\n     'originalText': 'for',\n     'lemma': 'for',\n     'characterOffsetBegin': 72,\n     'characterOffsetEnd': 75,\n     'pos': 'IN',\n     'ner': 'O',\n     'before': ' ',\n     'after': ' '},\n    {'index': 6,\n     'word': 'Barcelona',\n     'originalText': 'Barcelona',\n     'lemma': 'Barcelona',\n     'characterOffsetBegin': 76,\n     'characterOffsetEnd': 85,\n     'pos': 'NNP',\n     'ner': 'ORGANIZATION',\n     'before': ' ',\n     'after': ''})})}\n<\/code>\n<\/p>\n<\/pre>\n<p>\u0627\u06af\u0631 \u0628\u0647 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0628\u0627 \u062f\u0642\u062a \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u062f\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u062a\u06af\u200c\u0647\u0627\u06cc POS\u060c \u0645\u0648\u062c\u0648\u062f\u06cc\u062a\u200c\u0647\u0627\u06cc \u0646\u0627\u0645\u200c\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0648 \u0646\u0633\u062e\u0647\u200c\u06cc \u06a9\u0644\u0645\u0647\u200c\u0633\u0627\u0632\u06cc \u0647\u0631 \u06a9\u0644\u0645\u0647 \u0631\u0627 \u0628\u06cc\u0627\u0628\u06cc\u062f.<\/p>\n<h4 id=\"lemmatization\">Lemmatization<\/h4>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u06a9\u0646\u0648\u0646 \u0646\u062a\u0627\u06cc\u062c \u0645\u0634\u0631\u0648\u062d \u0634\u062f\u0647 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u0645.  \u0645\u0627 \u0627\u0648\u0644 print \u0648\u0627\u0698\u0647\u200c\u0633\u0627\u0632\u06cc \u0628\u0631\u0627\u06cc \u06a9\u0644\u0645\u0627\u062a \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u062f\u0648 \u062c\u0645\u0644\u0647 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0627:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">for<\/span> sentence <span class=\"hljs-keyword\">in<\/span> annot_doc(<span class=\"hljs-string\">\"sentences\"<\/span>):\n    <span class=\"hljs-keyword\">for<\/span> word <span class=\"hljs-keyword\">in<\/span> sentence(<span class=\"hljs-string\">\"tokens\"<\/span>):\n        <span class=\"hljs-built_in\">print<\/span>(word(<span class=\"hljs-string\">\"word\"<\/span>) + <span class=\"hljs-string\">\" =&gt; \"<\/span> + word(<span class=\"hljs-string\">\"lemma\"<\/span>))\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627\u060c \u062d\u0644\u0642\u0647 \u0628\u06cc\u0631\u0648\u0646\u06cc \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0647\u0631 \u062c\u0645\u0644\u0647 \u062f\u0631 \u0633\u0646\u062f \u0648 \u062d\u0644\u0642\u0647 \u062f\u0627\u062e\u0644\u06cc \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0647\u0631 \u06a9\u0644\u0645\u0647 \u062f\u0631 \u062c\u0645\u0644\u0647 \u062a\u06a9\u0631\u0627\u0631 \u0645\u06cc \u0634\u0648\u062f.  \u062f\u0631 \u062f\u0627\u062e\u0644 \u062d\u0644\u0642\u0647 \u062f\u0627\u062e\u0644\u06cc\u060c \u06a9\u0644\u0645\u0647 \u0648 \u0634\u06a9\u0644 \u0644\u0645\u0627\u062a\u06cc\u0632\u0647 \u0634\u062f\u0647 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0622\u0646 \u0686\u0627\u067e \u0645\u06cc \u0634\u0648\u062f \u0631\u0648\u06cc \u0631\u0627 console.  \u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">Ronaldo=&gt;Ronaldo\nhas=&gt;have\nmoved=&gt;move\nfrom=&gt;from\nReal=&gt;real\nMadrid=&gt;Madrid\nto=&gt;to\nJuventus=&gt;Juventus\n.=&gt;.\nWhile=&gt;while\nmessi=&gt;messus\nstill=&gt;still\nplays=&gt;play\nfor=&gt;for\nBarcelona=&gt;Barcelona\n<\/code><\/pre>\n<p>\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u06a9\u0644\u0645\u0647 \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f <code>moved<\/code> \u0634\u062f\u0647 \u0627\u0633\u062a \u0628\u0647 <code>move<\/code>\u060c \u0628\u0647 \u0637\u0648\u0631 \u0645\u0634\u0627\u0628\u0647 \u06a9\u0644\u0645\u0647 <code>plays<\/code> \u0634\u062f\u0647 \u0627\u0633\u062a \u0628\u0647 <code>play<\/code>.<\/p>\n<h4 id=\"postagging\">\u0628\u0631\u0686\u0633\u0628 \u06af\u0630\u0627\u0631\u06cc POS<\/h4>\n<p>\u0628\u0647 \u0647\u0645\u06cc\u0646 \u062a\u0631\u062a\u06cc\u0628 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u062a\u06af\u200c\u0647\u0627\u06cc POS \u0631\u0627 \u0628\u0631\u0627\u06cc \u0647\u0631 \u06a9\u0644\u0645\u0647 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u0645.  \u0628\u0647 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">for<\/span> sentence <span class=\"hljs-keyword\">in<\/span> annot_doc(<span class=\"hljs-string\">\"sentences\"<\/span>):\n    <span class=\"hljs-keyword\">for<\/span> word <span class=\"hljs-keyword\">in<\/span> sentence(<span class=\"hljs-string\">\"tokens\"<\/span>):\n        <span class=\"hljs-built_in\">print<\/span> (word(<span class=\"hljs-string\">\"word\"<\/span>) + <span class=\"hljs-string\">\"=&gt;\"<\/span> + word(<span class=\"hljs-string\">\"pos\"<\/span>))\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f \u0646\u062a\u0627\u06cc\u062c \u0632\u06cc\u0631 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">Ronaldo=&gt;NNP\nhas=&gt;VBZ\nmoved=&gt;VBN\nfrom=&gt;IN\nReal=&gt;JJ\nMadrid=&gt;NNP\nto=&gt;TO\nJuventus=&gt;NNP\n.=&gt;.\nWhile=&gt;IN\nmessi=&gt;NNS\nstill=&gt;RB\nplays=&gt;VBZ\nfor=&gt;IN\nBarcelona=&gt;NNP\n<\/code><\/pre>\n<p>\u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u06af \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u062a\u06af \u0647\u0627\u06cc POS \u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u06af Penn Treebank \u0627\u0633\u062a \u0648 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0622\u0646 \u0631\u0627 \u067e\u06cc\u062f\u0627 \u06a9\u0631\u062f <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/www.ling.upenn.edu\/courses\/Fall_2003\/ling001\/penn_treebank_pos.html\" class=\"broken_link\">\u0627\u06cc\u0646\u062c\u0627<\/a>.<\/p>\n<h4 id=\"namedentityrecognition\">\u0628\u0647 \u0646\u0627\u0645 Entity Recognition<\/h4>\n<p>\u0628\u0631\u0627\u06cc \u06cc\u0627\u0641\u062a\u0646 \u0645\u0648\u062c\u0648\u062f\u06cc\u062a \u0647\u0627\u06cc \u0646\u0627\u0645\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u062f\u0631 \u0633\u0646\u062f \u062e\u0648\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">for<\/span> sentence <span class=\"hljs-keyword\">in<\/span> annot_doc(<span class=\"hljs-string\">\"sentences\"<\/span>):\n    <span class=\"hljs-keyword\">for<\/span> word <span class=\"hljs-keyword\">in<\/span> sentence(<span class=\"hljs-string\">\"tokens\"<\/span>):\n        <span class=\"hljs-built_in\">print<\/span> (word(<span class=\"hljs-string\">\"word\"<\/span>) + <span class=\"hljs-string\">\"=&gt;\"<\/span> + word(<span class=\"hljs-string\">\"ner\"<\/span>))\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\">Ronaldo=&gt;PERSON\nhas=&gt;O\nmoved=&gt;O\nfrom=&gt;O\nReal=&gt;ORGANIZATION\nMadrid=&gt;ORGANIZATION\nto=&gt;O\nJuventus=&gt;ORGANIZATION\n.=&gt;O\nWhile=&gt;O\nmessi=&gt;O\nstill=&gt;O\nplays=&gt;O\nfor=&gt;O\nBarcelona=&gt;ORGANIZATION\n<\/code><\/pre>\n<p>\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646 \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u0645 <code>Ronaldo<\/code> \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a <code>PERSON<\/code> \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 <code>Barcelona<\/code> \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a <code>Organization<\/code>\u060c \u06a9\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f \u0635\u062d\u06cc\u062d \u0627\u0633\u062a.<\/p>\n<h3 id=\"sentimentanalysis\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%ad%d9%84%db%8c%d9%84_%d8%a7%d8%ad%d8%b3%d8%a7%d8%b3%d8%a7%d8%aa\"><\/span>\u062a\u062d\u0644\u06cc\u0644 \u0627\u062d\u0633\u0627\u0633\u0627\u062a<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0631\u0627\u06cc \u06cc\u0627\u0641\u062a\u0646 \u0627\u062d\u0633\u0627\u0633 \u06cc\u06a9 \u062c\u0645\u0644\u0647\u060c \u062a\u0646\u0647\u0627 \u06a9\u0627\u0631\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0628\u06af\u0630\u0631\u06cc\u062f <code>sentiment<\/code> \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0627\u0631\u0632\u0634 \u0628\u0631\u0627\u06cc <code>annotators<\/code> \u0648\u06cc\u0698\u06af\u06cc.  \u0628\u0647 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">doc = <span class=\"hljs-string\">\"I like this chocolate. This chocolate is not good. The chocolate is delicious. It's a very tasty chocolate. This is so bad\"<\/span>\nannot_doc = nlp_wrapper.annotate(doc,\n    properties={\n       <span class=\"hljs-string\">'annotators'<\/span>: <span class=\"hljs-string\">'sentiment'<\/span>,\n       <span class=\"hljs-string\">'outputFormat'<\/span>: <span class=\"hljs-string\">'json'<\/span>,\n       <span class=\"hljs-string\">'timeout'<\/span>: <span class=\"hljs-number\">1000<\/span>,\n    })\n<\/code><\/pre>\n<p>\u0628\u0631\u0627\u06cc \u06cc\u0627\u0641\u062a\u0646 \u0627\u062d\u0633\u0627\u0633\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0647\u0631 \u062c\u0645\u0644\u0647 \u062a\u06a9\u0631\u0627\u0631 \u06a9\u0646\u06cc\u0645 \u0648 \u0633\u067e\u0633 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>sentimentValue<\/code> \u062f\u0627\u0631\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u06cc\u0627\u0641\u062a\u0646 \u0627\u062d\u0633\u0627\u0633  \u0627\u06cc\u0646 <code>sentimentValue<\/code> \u0645\u0642\u062f\u0627\u0631\u06cc \u0628\u06cc\u0646 1 \u0648 4 \u0631\u0627 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f \u06a9\u0647 \u062f\u0631 \u0622\u0646 1 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u0628\u0633\u06cc\u0627\u0631 \u0645\u0646\u0641\u06cc \u0648 4 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u0628\u0633\u06cc\u0627\u0631 \u0645\u062b\u0628\u062a \u0627\u0633\u062a.  \u0627\u06cc\u0646 <code>sentiment<\/code> \u0648\u06cc\u0698\u06af\u06cc \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u062f\u0631\u06cc\u0627\u0641\u062a \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u0628\u0647 \u0635\u0648\u0631\u062a \u06a9\u0644\u0627\u0645\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f <code>positive<\/code>\u060c <code>negative<\/code> \u06cc\u0627 <code>neutral<\/code>.<\/p>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0627\u062d\u0633\u0627\u0633 \u0647\u0631 \u062c\u0645\u0644\u0647 \u0631\u0627 \u062f\u0631 \u0633\u0646\u062f\u06cc \u06a9\u0647 \u062f\u0631 \u0628\u0627\u0644\u0627 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0631\u062f\u06cc\u0645 \u0631\u0627 \u067e\u06cc\u062f\u0627 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">for<\/span> sentence <span class=\"hljs-keyword\">in<\/span> annot_doc(<span class=\"hljs-string\">\"sentences\"<\/span>):\n    <span class=\"hljs-built_in\">print<\/span> ( <span class=\"hljs-string\">\" \"<\/span>.join((word(<span class=\"hljs-string\">\"word\"<\/span>) <span class=\"hljs-keyword\">for<\/span> word <span class=\"hljs-keyword\">in<\/span> sentence(<span class=\"hljs-string\">\"tokens\"<\/span>))) + <span class=\"hljs-string\">\" =&gt; \"<\/span> \\\n        + <span class=\"hljs-built_in\">str<\/span>(sentence(<span class=\"hljs-string\">\"sentimentValue\"<\/span>)) + <span class=\"hljs-string\">\" = \"<\/span>+ sentence(<span class=\"hljs-string\">\"sentiment\"<\/span>))\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">I like this chocolate . =&gt; 2 = Neutral\nThis chocolate is not good . =&gt; 1 = Negative\nThe chocolate is delicious . =&gt; 3 = Positive\nIt's a very tasty chocolate . =&gt; 3 = Positive\nThis is so bad =&gt; 1 = Negative\n<\/code><\/pre>\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><code>StanfordCoreNLP<\/code>  \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0641\u06cc\u062f \u062f\u06cc\u06af\u0631 \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u0627\u0633\u062a.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634 \u062a\u0646\u0638\u06cc\u0645 \u0645\u062d\u06cc\u0637 \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc StanfordCoreNLP \u0631\u0627 \u0645\u0637\u0627\u0644\u0639\u0647 \u06a9\u0631\u062f\u06cc\u0645.  \u0633\u067e\u0633 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 StanfordCoreNLP \u0631\u0627 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0647\u0627\u06cc \u0631\u0627\u06cc\u062c NLP \u0645\u0627\u0646\u0646\u062f \u0648\u0627\u0698\u0647\u200c\u0633\u0627\u0632\u06cc\u060c \u0628\u0631\u0686\u0633\u0628\u200c\u06af\u0630\u0627\u0631\u06cc POS \u0648 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0645\u0648\u062c\u0648\u062f\u06cc\u062a \u0646\u0627\u0645\u200c\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0631\u062f\u06cc\u0645 \u0648 \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0645\u0642\u0627\u0644\u0647 \u0631\u0627 \u0628\u0627 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0627\u062d\u0633\u0627\u0633\u0627\u062a\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 StanfordCoreNLP \u06a9\u0627\u0645\u0644 \u06a9\u0631\u062f\u06cc\u0645.<\/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 1403-01-23 05:54:03<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;16302&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;\u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc NLP: \u0634\u0631\u0648\u0639 \u0628\u0647 \u06a9\u0627\u0631 \u0628\u0627 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 StanfordCoreNLP&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\"> 7<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0627\u06cc\u0646 \u0646\u0647\u0645\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0627\u0632 \u0633\u0631\u06cc \u0645\u0642\u0627\u0644\u0627\u062a \u0645\u0646 \u0627\u0633\u062a \u0631\u0648\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc NLP. \u062f\u0631 \u0645\u0642\u0627\u0644\u0647 \u0642\u0628\u0644\u06cc\u060c \u062f\u06cc\u062f\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Pattern Python \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u0646\u0648\u0627\u0639 \u0648\u0638\u0627\u06cc\u0641 NLP \u0627\u0632 \u062a\u0648\u06a9\u0646\u200c\u0633\u0627\u0632\u06cc \u062a\u0627 \u0628\u0631\u0686\u0633\u0628\u200c\u06af\u0630\u0627\u0631\u06cc POS \u0648 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u062a\u0627 \u062a\u062d\u0644\u06cc\u0644 \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f. \u0642\u0628\u0644 \u0627\u0632 \u0622\u0646\u060c \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 TextBlob \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0648\u0638\u0627\u06cc\u0641 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u0645\u0634\u0627\u0628\u0647 \u0628\u0631\u0631\u0633\u06cc [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":9759,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-16302","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\/16302","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=16302"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16302\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/9759"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=16302"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=16302"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=16302"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}