{"id":12961,"date":"2024-03-15T01:42:00","date_gmt":"2024-03-15T01:42:00","guid":{"rendered":"https:\/\/www.silicloud.com\/blog\/what-is-the-usage-of-snownlp-in-nlp\/"},"modified":"2025-08-05T09:19:50","modified_gmt":"2025-08-05T09:19:50","slug":"what-is-the-usage-of-snownlp-in-nlp","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/blog\/what-is-the-usage-of-snownlp-in-nlp\/","title":{"rendered":"SnowNLP: Python Library for Chinese NLP"},"content":{"rendered":"<p>snownlp is a Python-based natural language processing (NLP) library used for processing Chinese text. It offers a range of features such as text classification, sentiment analysis, word segmentation, and keyword extraction.<\/p>\n<p>Here are some common uses of SnowNLP:<\/p>\n<ol>\n<li>Word segmentation: Snownlp can be used to segment Chinese texts, breaking sentences into individual words. For example:<\/li>\n<\/ol>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">from<\/span> snownlp <span class=\"hljs-keyword\">import<\/span> SnowNLP\r\n\r\ntext = <span class=\"hljs-string\">\"\u6211\u559c\u6b22\u81ea\u7136\u8bed\u8a00\u5904\u7406\"<\/span>\r\ns = SnowNLP(text)\r\nwords = s.words\r\n<span class=\"hljs-built_in\">print<\/span>(words)\r\n<\/code><\/pre>\n<p>The output result is: [&#8216;I&#8217;, &#8216;like&#8217;, &#8216;natural language&#8217;, &#8216;processing&#8217;]<\/p>\n<ol>\n<li>Sentiment analysis: Snownlp can analyze the sentiment of Chinese text and determine the emotional tendency of the text. For example:<\/li>\n<\/ol>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">from<\/span> snownlp <span class=\"hljs-keyword\">import<\/span> SnowNLP\r\n\r\ntext = <span class=\"hljs-string\">\"\u8fd9\u90e8\u7535\u5f71\u592a\u597d\u770b\u4e86\"<\/span>\r\ns = SnowNLP(text)\r\nsentiment = s.sentiments\r\n<span class=\"hljs-built_in\">print<\/span>(sentiment)\r\n<\/code><\/pre>\n<p>The output is 0.9978232200000001 (closer to 1 indicates positive emotion).<\/p>\n<ol>\n<li>Key phrase extraction: Snownlp can be used to extract key phrases from text. For example:<\/li>\n<\/ol>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">from<\/span> snownlp <span class=\"hljs-keyword\">import<\/span> SnowNLP\r\n\r\ntext = <span class=\"hljs-string\">\"\u8fd9\u672c\u4e66\u975e\u5e38\u6709\u8da3\uff0c\u5173\u4e8e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u5185\u5bb9\u5f88\u4e30\u5bcc\"<\/span>\r\ns = SnowNLP(text)\r\nkeywords = s.keywords(limit=<span class=\"hljs-number\">5<\/span>)\r\n<span class=\"hljs-built_in\">print<\/span>(keywords)\r\n<\/code><\/pre>\n<p>The output is: [&#8216;Natural language&#8217;, &#8216;Fun&#8217;, &#8216;Content&#8217;, &#8216;Rich&#8217;, &#8216;Books&#8217;]<\/p>\n<ol>\n<li>Text categorization: Snownlp can classify text into different categories. For example:<\/li>\n<\/ol>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">from<\/span> snownlp <span class=\"hljs-keyword\">import<\/span> SnowNLP\r\n<span class=\"hljs-keyword\">from<\/span> snownlp <span class=\"hljs-keyword\">import<\/span> seg\r\n\r\nsentences = [(<span class=\"hljs-string\">\"\u8fd9\u90e8\u7535\u5f71\u975e\u5e38\u7cbe\u5f69\"<\/span>, <span class=\"hljs-string\">\"\u79ef\u6781\"<\/span>), (<span class=\"hljs-string\">\"\u8fd9\u4e2a\u4ea7\u54c1\u8d28\u91cf\u5f88\u5dee\"<\/span>, <span class=\"hljs-string\">\"\u6d88\u6781\"<\/span>), (<span class=\"hljs-string\">\"\u8fd9\u4e2a\u65b0\u95fb\u62a5\u9053\u5f88\u5ba2\u89c2\"<\/span>, <span class=\"hljs-string\">\"\u4e2d\u7acb\"<\/span>)]\r\n\r\n<span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">get_features<\/span>(<span class=\"hljs-params\">text<\/span>):\r\n    words = seg.seg(text)\r\n    <span class=\"hljs-keyword\">return<\/span> <span class=\"hljs-built_in\">dict<\/span>([(word, <span class=\"hljs-literal\">True<\/span>) <span class=\"hljs-keyword\">for<\/span> word <span class=\"hljs-keyword\">in<\/span> words])\r\n\r\ntrain_data = [(get_features(text), label) <span class=\"hljs-keyword\">for<\/span> text, label <span class=\"hljs-keyword\">in<\/span> sentences]\r\nclassifier = SnowNLP.train(train_data)\r\ntext = <span class=\"hljs-string\">\"\u8fd9\u662f\u4e00\u7bc7\u5f88\u597d\u7684\u62a5\u9053\"<\/span>\r\nfeatures = get_features(text)\r\nresult = classifier.classify(features)\r\n<span class=\"hljs-built_in\">print<\/span>(result)\r\n<\/code><\/pre>\n<p>The output result is &#8220;neutral&#8221;<\/p>\n<p>These are just some common uses of snownlp, it also has many other features and methods for processing and analyzing Chinese text.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>snownlp is a Python-based natural language processing (NLP) library used for processing Chinese text. It offers a range of features such as text classification, sentiment analysis, word segmentation, and keyword extraction. Here are some common uses of SnowNLP: Word segmentation: Snownlp can be used to segment Chinese texts, breaking sentences into individual words. For example: [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[17064,5230,9231,17063,213],"class_list":["post-12961","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-chinese-nlp","tag-python-libraries","tag-sentiment-analysis","tag-snownlp","tag-text-processing"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>SnowNLP: Python Library for Chinese NLP - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"Learn to implement SnowNLP for Chinese text processing, sentiment analysis, and segmentation in Python.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/blog\/what-is-the-usage-of-snownlp-in-nlp\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SnowNLP: Python Library for Chinese NLP\" \/>\n<meta property=\"og:description\" content=\"Learn to implement SnowNLP for Chinese text processing, sentiment analysis, and segmentation in Python.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/blog\/what-is-the-usage-of-snownlp-in-nlp\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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