{"id":6201,"date":"2024-07-01T14:20:48","date_gmt":"2024-07-01T06:20:48","guid":{"rendered":"https:\/\/t.n-years.com\/?p=6201"},"modified":"2024-07-01T14:26:49","modified_gmt":"2024-07-01T06:26:49","slug":"%e6%96%87%e6%9c%ac%e7%b1%bb%e5%9e%8b%e5%8f%98%e5%8c%96%e5%a4%a7%e7%9a%84%e7%89%b9%e5%be%81%e7%89%b9%e5%be%81%e5%b7%a5%e7%a8%8b%e5%a4%84%e7%90%86","status":"publish","type":"post","link":"https:\/\/t.n-years.com\/?p=6201","title":{"rendered":"\u6587\u672c\u7c7b\u578b\u53d8\u5316\u5927\u7684\u7279\u5f81\u7279\u5f81\u5de5\u7a0b\u5904\u7406"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">\u975e\u539f\u521b\uff0cChatGPT \u751f\u6210<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u95ee\uff1a\u7279\u5f81\u5de5\u7a0b\u805a\u7c7b\u4efb\u52a1\uff0c\u5982\u679c\u6709\u4e00\u4e2a\u7279\u5f81\u662f\u6587\u672c\u7c7b\u578b\u7684\uff0c\u4e14\u53d8\u5316\u5f88\u5927\uff0c\u4e00\u822c\u600e\u4e48\u5904\u7406<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5728\u7279\u5f81\u5de5\u7a0b\u4e2d\uff0c\u5bf9\u4e8e\u6587\u672c\u7c7b\u578b\u7684\u7279\u5f81\uff0c\u5c24\u5176\u662f\u5728\u805a\u7c7b\u4efb\u52a1\u4e2d\uff0c\u5904\u7406\u6587\u672c\u7279\u5f81\u7684\u7b56\u7565\u9700\u8981\u6839\u636e\u5177\u4f53\u7684\u4efb\u52a1\u548c\u6570\u636e\u7279\u70b9\u6765\u786e\u5b9a\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u6587\u672c\u5411\u91cf\u5316\u548c\u964d\u7ef4\u7b49\u6b65\u9aa4\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5904\u7406\u65b9\u6cd5\uff1a<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. \u6587\u672c\u5411\u91cf\u5316<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">1.1 \u8bcd\u888b\u6a21\u578b\uff08Bag of Words, BOW\uff09<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">\u8bcd\u888b\u6a21\u578b\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u56fa\u5b9a\u957f\u5ea6\u7684\u5411\u91cf\uff0c\u5411\u91cf\u7684\u6bcf\u4e2a\u7ef4\u5ea6\u8868\u793a\u4e00\u4e2a\u8bcd\u6c47\u5728\u6587\u672c\u4e2d\u51fa\u73b0\u7684\u6b21\u6570\u3002\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u6784\u5efa\u8bcd\u6c47\u8868<\/strong>\uff1a\u786e\u5b9a\u6240\u6709\u53ef\u80fd\u51fa\u73b0\u7684\u8bcd\u6c47\uff08\u8bcd\u6c47\u8868\uff09\u3002<\/li>\n\n\n\n<li><strong>\u5411\u91cf\u5316<\/strong>\uff1a\u5c06\u6bcf\u4e2a\u6587\u672c\u8f6c\u6362\u4e3a\u8bcd\u6c47\u8868\u957f\u5ea6\u7684\u5411\u91cf\uff0c\u5411\u91cf\u7684\u6bcf\u4e2a\u5143\u7d20\u8868\u793a\u8bcd\u6c47\u5728\u6587\u672c\u4e2d\u51fa\u73b0\u7684\u6b21\u6570\u3002<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.feature_extraction.text import CountVectorizer\n\ntexts = &#91;\"sample text data\", \"another sample text\"]\nvectorizer = CountVectorizer()\nX = vectorizer.fit_transform(texts)<\/code><\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">1.2 TF-IDF\uff08Term Frequency-Inverse Document Frequency\uff09<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">TF-IDF \u7ed3\u5408\u4e86\u8bcd\u9891\u548c\u9006\u6587\u6863\u9891\u7387\uff0c\u7528\u4e8e\u8861\u91cf\u8bcd\u6c47\u7684\u91cd\u8981\u6027\u3002\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u8ba1\u7b97\u8bcd\u9891\uff08TF\uff09<\/strong>\uff1a\u8bcd\u6c47\u5728\u6587\u672c\u4e2d\u51fa\u73b0\u7684\u9891\u7387\u3002<\/li>\n\n\n\n<li><strong>\u8ba1\u7b97\u9006\u6587\u6863\u9891\u7387\uff08IDF\uff09<\/strong>\uff1a\u8bcd\u6c47\u5728\u6574\u4e2a\u6587\u6863\u96c6\u5408\u4e2d\u51fa\u73b0\u7684\u9891\u7387\u7684\u5bf9\u6570\u5012\u6570\u3002<\/li>\n\n\n\n<li><strong>\u8ba1\u7b97TF-IDF\u503c<\/strong>\uff1aTF\u503c\u4e58\u4ee5IDF\u503c\u3002<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.feature_extraction.text import TfidfVectorizer\n\ntexts = &#91;\"sample text data\", \"another sample text\"]\nvectorizer = TfidfVectorizer()\nX = vectorizer.fit_transform(texts)<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">2. \u5355\u8bcd\u5d4c\u5165\uff08Word Embeddings\uff09<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">2.1 Word2Vec<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Word2Vec \u662f\u4e00\u79cd\u901a\u8fc7\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u5b66\u4e60\u5355\u8bcd\u5411\u91cf\u8868\u793a\u7684\u65b9\u6cd5\u3002\u6bcf\u4e2a\u5355\u8bcd\u88ab\u6620\u5c04\u4e3a\u4e00\u4e2a\u56fa\u5b9a\u957f\u5ea6\u7684\u5411\u91cf\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from gensim.models import Word2Vec\n\nsentences = &#91;&#91;\"sample\", \"text\", \"data\"], &#91;\"another\", \"sample\", \"text\"]]\nmodel = Word2Vec(sentences, vector_size=100, window=5, min_count=1, workers=4)\nword_vectors = model.wv<\/code><\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">2.2 GloVe\uff08Global Vectors for Word Representation\uff09<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">GloVe \u662f\u53e6\u4e00\u79cd\u5b66\u4e60\u5355\u8bcd\u5411\u91cf\u8868\u793a\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u6784\u5efa\u5171\u73b0\u77e9\u9635\u8fdb\u884c\u8bad\u7ec3\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from gensim.scripts.glove2word2vec import glove2word2vec\nfrom gensim.models import KeyedVectors\n\n# \u9884\u8bad\u7ec3\u7684 GloVe \u6a21\u578b\u6587\u4ef6\nglove_input_file = 'glove.6B.100d.txt'\nword2vec_output_file = 'glove.6B.100d.word2vec.txt'\nglove2word2vec(glove_input_file, word2vec_output_file)\nmodel = KeyedVectors.load_word2vec_format(word2vec_output_file, binary=False)<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">3. \u6587\u672c\u964d\u7ef4<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u5728\u6587\u672c\u5411\u91cf\u5316\u540e\uff0c\u901a\u5e38\u4f1a\u5f97\u5230\u9ad8\u7ef4\u7684\u7279\u5f81\u5411\u91cf\u3002\u53ef\u4ee5\u4f7f\u7528\u964d\u7ef4\u65b9\u6cd5\uff0c\u5982\u4e3b\u6210\u5206\u5206\u6790\uff08PCA\uff09\u6216 t-SNE\uff0c\u5c06\u9ad8\u7ef4\u5411\u91cf\u964d\u5230\u8f83\u4f4e\u7ef4\u5ea6\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u8fdb\u884c\u805a\u7c7b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.decomposition import PCA\n\n# \u4f7f\u7528TF-IDF\u5411\u91cf\u5316\u540e\u7684\u6587\u672c\u6570\u636e\npca = PCA(n_components=2)\nX_reduced = pca.fit_transform(X.toarray())<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">4. \u805a\u7c7b\u7b97\u6cd5\u7684\u5e94\u7528<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u5728\u5b8c\u6210\u7279\u5f81\u5de5\u7a0b\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u805a\u7c7b\u7b97\u6cd5\uff08\u5982 KMeans\uff09\u8fdb\u884c\u805a\u7c7b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.cluster import KMeans\n\nkmeans = KMeans(n_clusters=3, random_state=0)\nkmeans.fit(X_reduced)\nlabels = kmeans.labels_<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u603b\u7ed3<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u5904\u7406\u6587\u672c\u7279\u5f81\u7684\u5173\u952e\u6b65\u9aa4\u5305\u62ec\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6587\u672c\u5411\u91cf\u5316<\/strong>\uff1a\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u6570\u503c\u7279\u5f81\u3002<\/li>\n\n\n\n<li><strong>\u964d\u7ef4<\/strong>\uff1a\u51cf\u5c11\u9ad8\u7ef4\u7279\u5f81\u7684\u7ef4\u6570\u3002<\/li>\n\n\n\n<li><strong>\u805a\u7c7b<\/strong>\uff1a\u5e94\u7528\u805a\u7c7b\u7b97\u6cd5\u8fdb\u884c\u805a\u7c7b\u3002<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">\u5177\u4f53\u9009\u62e9\u4f55\u79cd\u65b9\u6cd5\u53d6\u51b3\u4e8e\u6570\u636e\u96c6\u7684\u7279\u70b9\u548c\u805a\u7c7b\u4efb\u52a1\u7684\u8981\u6c42\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u95ee\uff1a\u4e3b\u6210\u5206\u5206\u6790 \u600e\u4e48\u505a<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e3b\u6210\u5206\u5206\u6790\uff08Principal Component Analysis, PCA\uff09\u662f\u4e00\u79cd\u5e38\u7528\u7684\u964d\u7ef4\u6280\u672f\uff0c\u7528\u4e8e\u5c06\u9ad8\u7ef4\u6570\u636e\u6620\u5c04\u5230\u4f4e\u7ef4\u7a7a\u95f4\uff0c\u540c\u65f6\u5c3d\u53ef\u80fd\u4fdd\u7559\u6570\u636e\u7684\u4e3b\u8981\u7279\u5f81\u548c\u65b9\u5dee\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528 PCA \u8fdb\u884c\u964d\u7ef4\u7684\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u6b65\u9aa4 1\uff1a\u6570\u636e\u9884\u5904\u7406<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u5728\u8fdb\u884c PCA \u4e4b\u524d\uff0c\u901a\u5e38\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u6807\u51c6\u5316\u5904\u7406\uff0c\u56e0\u4e3a PCA \u5bf9\u6570\u636e\u7684\u5c3a\u5ea6\u654f\u611f\u3002\u6807\u51c6\u5316\u7684\u76ee\u7684\u662f\u4f7f\u5f97\u6bcf\u4e2a\u7279\u5f81\u5177\u6709\u5747\u503c\u4e3a0\uff0c\u65b9\u5dee\u4e3a1\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.preprocessing import StandardScaler\n\n# \u793a\u4f8b\u6570\u636e\ndata = &#91;&#91;2.5, 2.4],\n        &#91;0.5, 0.7],\n        &#91;2.2, 2.9],\n        &#91;1.9, 2.2],\n        &#91;3.1, 3.0],\n        &#91;2.3, 2.7],\n        &#91;2, 1.6],\n        &#91;1, 1.1],\n        &#91;1.5, 1.6],\n        &#91;1.1, 0.9]]\n\n# \u6807\u51c6\u5316\nscaler = StandardScaler()\ndata_std = scaler.fit_transform(data)<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u6b65\u9aa4 2\uff1a\u8ba1\u7b97\u534f\u65b9\u5dee\u77e9\u9635<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u6807\u51c6\u5316\u6570\u636e\u540e\uff0c\u8ba1\u7b97\u534f\u65b9\u5dee\u77e9\u9635\uff0c\u4ee5\u4e86\u89e3\u6570\u636e\u7684\u5404\u4e2a\u7279\u5f81\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import numpy as np\n\n# \u8ba1\u7b97\u534f\u65b9\u5dee\u77e9\u9635\ncov_matrix = np.cov(data_std.T)<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u6b65\u9aa4 3\uff1a\u8ba1\u7b97\u7279\u5f81\u503c\u548c\u7279\u5f81\u5411\u91cf<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u534f\u65b9\u5dee\u77e9\u9635\u7684\u7279\u5f81\u503c\u548c\u7279\u5f81\u5411\u91cf\u7528\u4e8e\u786e\u5b9a\u6570\u636e\u7684\u4e3b\u6210\u5206\u3002\u7279\u5f81\u5411\u91cf\u8868\u793a\u4e3b\u6210\u5206\u7684\u65b9\u5411\uff0c\u7279\u5f81\u503c\u8868\u793a\u8fd9\u4e9b\u65b9\u5411\u4e0a\u7684\u65b9\u5dee\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># \u8ba1\u7b97\u7279\u5f81\u503c\u548c\u7279\u5f81\u5411\u91cf\neig_vals, eig_vecs = np.linalg.eig(cov_matrix)<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u6b65\u9aa4 4\uff1a\u9009\u62e9\u4e3b\u8981\u6210\u5206<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u901a\u5e38\u9009\u62e9\u6700\u5927\u7684 k \u4e2a\u7279\u5f81\u503c\u5bf9\u5e94\u7684\u7279\u5f81\u5411\u91cf\u4f5c\u4e3a\u4e3b\u8981\u6210\u5206\u3002k \u7684\u9009\u62e9\u53ef\u4ee5\u901a\u8fc7\u7d2f\u79ef\u65b9\u5dee\u8d21\u732e\u7387\uff08\u5373\u524d k \u4e2a\u7279\u5f81\u503c\u7684\u603b\u548c\u5360\u6240\u6709\u7279\u5f81\u503c\u603b\u548c\u7684\u6bd4\u4f8b\uff09\u6765\u786e\u5b9a\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># \u7d2f\u79ef\u65b9\u5dee\u8d21\u732e\u7387\nexplained_variance = eig_vals \/ np.sum(eig_vals)\ncumulative_variance = np.cumsum(explained_variance)\n\n# \u5047\u8bbe\u9009\u62e9\u524d2\u4e2a\u4e3b\u8981\u6210\u5206\nk = 2\nselected_components = eig_vecs&#91;:, :k]<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u6b65\u9aa4 5\uff1a\u8f6c\u6362\u6570\u636e<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u7528\u9009\u5b9a\u7684\u4e3b\u8981\u6210\u5206\u5c06\u6570\u636e\u8f6c\u6362\u5230\u4f4e\u7ef4\u7a7a\u95f4\u3002\u5373\u5c06\u539f\u59cb\u6570\u636e\u6295\u5f71\u5230\u4e3b\u8981\u6210\u5206\u7684\u65b9\u5411\u4e0a\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># \u8f6c\u6362\u6570\u636e\ndata_pca = np.dot(data_std, selected_components)<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u4f7f\u7528 Scikit-learn \u7b80\u5316\u5b9e\u73b0<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Scikit-learn \u63d0\u4f9b\u4e86\u4fbf\u6377\u7684 PCA \u5b9e\u73b0\uff0c\u53ef\u4ee5\u7b80\u5316\u4e0a\u8ff0\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.decomposition import PCA\n\n# \u5047\u8bbe\u9009\u62e9\u524d2\u4e2a\u4e3b\u8981\u6210\u5206\npca = PCA(n_components=2)\ndata_pca = pca.fit_transform(data_std)\n\n# \u67e5\u770b\u6bcf\u4e2a\u4e3b\u6210\u5206\u7684\u65b9\u5dee\u8d21\u732e\u7387\nprint(pca.explained_variance_ratio_)<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u603b\u7ed3<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528 PCA \u5c06\u9ad8\u7ef4\u6570\u636e\u964d\u5230\u8f83\u4f4e\u7ef4\u5ea6\uff0c\u540c\u65f6\u4fdd\u7559\u5c3d\u53ef\u80fd\u591a\u7684\u539f\u59cb\u6570\u636e\u7279\u5f81\u548c\u65b9\u5dee\u3002PCA \u7684\u5173\u952e\u6b65\u9aa4\u5305\u62ec\u6570\u636e\u6807\u51c6\u5316\u3001\u8ba1\u7b97\u534f\u65b9\u5dee\u77e9\u9635\u3001\u8ba1\u7b97\u7279\u5f81\u503c\u548c\u7279\u5f81\u5411\u91cf\u3001\u9009\u62e9\u4e3b\u8981\u6210\u5206\u4ee5\u53ca\u8f6c\u6362\u6570\u636e\u3002\u4f7f\u7528 Scikit-learn \u53ef\u4ee5\u5927\u5927\u7b80\u5316 PCA \u7684\u5b9e\u73b0\u8fc7\u7a0b\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u95ee\uff1a\u5982\u679c\u7279\u5f81\u662f\u53d8\u5316\u5f88\u5927\u7684\u6587\u672c\uff0c\u6bd4\u5982 git diff \u6570\u636e\uff0c\u5e94\u8be5\u600e\u4e48\u5904\u7406<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5904\u7406\u53d8\u5316\u5f88\u5927\u7684\u6587\u672c\u6570\u636e\uff08\u5982 git diff \u6570\u636e\uff09\u65f6\uff0c\u9700\u8981\u4e00\u4e9b\u7279\u5b9a\u7684\u65b9\u6cd5\u6765\u63d0\u53d6\u6709\u7528\u7684\u7279\u5f81\uff0c\u786e\u4fdd\u8fd9\u4e9b\u7279\u5f81\u53ef\u4ee5\u88ab\u7528\u4e8e\u805a\u7c7b\u6216\u5176\u4ed6\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u65b9\u6cd5\u6765\u5904\u7406\u8fd9\u79cd\u60c5\u51b5\uff1a<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. \u9884\u5904\u7406\u6587\u672c\u6570\u636e<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">1.1 \u6e05\u6d17\u6587\u672c<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">\u9996\u5148\uff0c\u6e05\u6d17\u6587\u672c\u6570\u636e\uff0c\u53bb\u9664\u566a\u97f3\u548c\u65e0\u7528\u4fe1\u606f\uff0c\u5982\u6ce8\u91ca\u3001\u7a7a\u884c\u3001\u7279\u6b8a\u5b57\u7b26\u7b49\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import re\n\ndef clean_text(text):\n    # \u53bb\u9664\u6ce8\u91ca\u3001\u7a7a\u884c\u3001\u7279\u6b8a\u5b57\u7b26\u7b49\n    text = re.sub(r'#.*', '', text)  # \u53bb\u9664\u6ce8\u91ca\n    text = re.sub(r'\\s+', ' ', text)  # \u53bb\u9664\u591a\u4f59\u7a7a\u767d\n    return text\n\ncleaned_diff = clean_text(git_diff_data)<\/code><\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">1.2 \u6807\u8bb0\u5904\u7406\uff08Tokenization\uff09<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">\u5c06\u6587\u672c\u62c6\u5206\u4e3a\u5355\u8bcd\u6216\u5176\u4ed6\u6709\u610f\u4e49\u7684\u8bcd\u6c47\u5355\u4f4d\u3002\u53ef\u4ee5\u4f7f\u7528 NLTK \u6216\u5176\u4ed6\u5e93\u8fdb\u884c\u6807\u8bb0\u5904\u7406\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from nltk.tokenize import word_tokenize\n\ntokens = word_tokenize(cleaned_diff)<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">2. \u6587\u672c\u5411\u91cf\u5316<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u6570\u503c\u8868\u793a\uff0c\u8fd9\u6837\u624d\u80fd\u88ab\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5904\u7406\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u6709\u8bcd\u888b\u6a21\u578b\uff08Bag of Words\uff09\u3001TF-IDF\u3001\u8bcd\u5d4c\u5165\uff08Word Embeddings\uff09\u7b49\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">2.1 \u8bcd\u888b\u6a21\u578b\uff08Bag of Words, BOW\uff09<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">\u8bcd\u888b\u6a21\u578b\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u8bcd\u9891\u5411\u91cf\u3002\u6bcf\u4e2a\u8bcd\u5728\u6587\u672c\u4e2d\u51fa\u73b0\u7684\u6b21\u6570\u4f5c\u4e3a\u7279\u5f81\u503c\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.feature_extraction.text import CountVectorizer\n\nvectorizer = CountVectorizer()\nX = vectorizer.fit_transform(&#91;cleaned_diff])<\/code><\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">2.2 TF-IDF\uff08Term Frequency-Inverse Document Frequency\uff09<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">TF-IDF \u7ed3\u5408\u8bcd\u9891\u548c\u9006\u6587\u6863\u9891\u7387\uff0c\u8861\u91cf\u8bcd\u6c47\u5728\u6587\u672c\u4e2d\u7684\u91cd\u8981\u6027\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.feature_extraction.text import TfidfVectorizer\n\nvectorizer = TfidfVectorizer()\nX = vectorizer.fit_transform(&#91;cleaned_diff])<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">3. \u964d\u7ef4\u5904\u7406<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u6587\u672c\u5411\u91cf\u5316\u540e\u901a\u5e38\u4f1a\u5f97\u5230\u9ad8\u7ef4\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528\u964d\u7ef4\u6280\u672f\u6765\u51cf\u5c11\u7279\u5f81\u7ef4\u6570\uff0c\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u548c\u805a\u7c7b\u6548\u679c\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">3.1 \u4e3b\u6210\u5206\u5206\u6790\uff08PCA\uff09<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">PCA \u662f\u5e38\u7528\u7684\u964d\u7ef4\u6280\u672f\uff0c\u53ef\u4ee5\u5c06\u9ad8\u7ef4\u6570\u636e\u6620\u5c04\u5230\u4f4e\u7ef4\u7a7a\u95f4\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.decomposition import PCA\n\npca = PCA(n_components=2)  # \u5047\u8bbe\u964d\u52302\u7ef4\nX_reduced = pca.fit_transform(X.toarray())<\/code><\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">3.2 t-SNE\uff08t-Distributed Stochastic Neighbor Embedding\uff09<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">t-SNE \u662f\u53e6\u4e00\u79cd\u5e38\u7528\u7684\u964d\u7ef4\u6280\u672f\uff0c\u7279\u522b\u9002\u7528\u4e8e\u53ef\u89c6\u5316\u9ad8\u7ef4\u6570\u636e\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.manifold import TSNE\n\ntsne = TSNE(n_components=2)\nX_reduced = tsne.fit_transform(X.toarray())<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">4. \u805a\u7c7b\u7b97\u6cd5<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u4f7f\u7528\u805a\u7c7b\u7b97\u6cd5\u5bf9\u964d\u7ef4\u540e\u7684\u6570\u636e\u8fdb\u884c\u805a\u7c7b\u5206\u6790\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">4.1 K-Means \u805a\u7c7b<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">K-Means \u662f\u5e38\u7528\u7684\u805a\u7c7b\u7b97\u6cd5\uff0c\u5c06\u6570\u636e\u70b9\u5212\u5206\u4e3a K \u4e2a\u7c07\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.cluster import KMeans\n\nkmeans = KMeans(n_clusters=3)  # \u5047\u8bbe\u5206\u4e3a3\u7c7b\nkmeans.fit(X_reduced)\nlabels = kmeans.labels_<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">5. \u603b\u7ed3<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u5904\u7406\u53d8\u5316\u5f88\u5927\u7684\u6587\u672c\u6570\u636e\uff08\u5982 git diff \u6570\u636e\uff09\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u9884\u5904\u7406<\/strong>\uff1a\u6e05\u6d17\u6587\u672c\u3001\u6807\u8bb0\u5904\u7406\u3002<\/li>\n\n\n\n<li><strong>\u5411\u91cf\u5316<\/strong>\uff1a\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u6570\u503c\u8868\u793a\uff08\u5982 BOW\u3001TF-IDF\uff09\u3002<\/li>\n\n\n\n<li><strong>\u964d\u7ef4<\/strong>\uff1a\u4f7f\u7528 PCA\u3001t-SNE \u7b49\u65b9\u6cd5\u51cf\u5c11\u7279\u5f81\u7ef4\u6570\u3002<\/li>\n\n\n\n<li><strong>\u805a\u7c7b<\/strong>\uff1a\u4f7f\u7528 K-Means \u7b49\u805a\u7c7b\u7b97\u6cd5\u8fdb\u884c\u5206\u6790\u3002<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">\u6bcf\u4e00\u6b65\u7684\u5177\u4f53\u65b9\u6cd5\u548c\u53c2\u6570\u9009\u62e9\u53d6\u51b3\u4e8e\u6570\u636e\u96c6\u7684\u7279\u70b9\u548c\u4efb\u52a1\u9700\u6c42\u3002\u901a\u8fc7\u8fd9\u4e9b\u6b65\u9aa4\uff0c\u53ef\u4ee5\u5c06\u590d\u6742\u7684\u6587\u672c\u6570\u636e\u8f6c\u6362\u4e3a\u53ef\u5904\u7406\u7684\u7279\u5f81\uff0c\u5e76\u8fdb\u884c\u6709\u6548\u7684\u805a\u7c7b\u5206\u6790\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u95ee\uff1a\u8ba1\u7b97TF-IDF \u7684\u4f5c\u7528<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">TF-IDF\uff08Term Frequency-Inverse Document Frequency\uff09\u662f\u4e00\u79cd\u7528\u4e8e\u6587\u672c\u6570\u636e\u5411\u91cf\u5316\u7684\u65b9\u6cd5\uff0c\u65e8\u5728\u8861\u91cf\u8bcd\u6c47\u5728\u6587\u6863\u4e2d\u7684\u91cd\u8981\u6027\u3002\u5b83\u901a\u8fc7\u7ed3\u5408\u8bcd\u9891\u548c\u9006\u6587\u6863\u9891\u7387\u6765\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u3002\u5177\u4f53\u6765\u8bf4\uff0cTF-IDF \u7684\u4e3b\u8981\u76ee\u7684\u662f\uff1a<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u76ee\u7684<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u8861\u91cf\u8bcd\u6c47\u7684\u91cd\u8981\u6027<\/strong>\uff1aTF-IDF \u901a\u8fc7\u8003\u8651\u8bcd\u6c47\u5728\u6587\u6863\u4e2d\u51fa\u73b0\u7684\u9891\u7387\uff08TF\uff09\u548c\u8bcd\u6c47\u5728\u6574\u4e2a\u6587\u6863\u96c6\u5408\u4e2d\u51fa\u73b0\u7684\u9891\u7387\uff08IDF\uff09\uff0c\u6765\u8861\u91cf\u8bcd\u6c47\u5728\u5355\u4e2a\u6587\u6863\u4e2d\u7684\u91cd\u8981\u6027\u3002\u91cd\u8981\u7684\u8bcd\u6c47\u5728\u4e00\u4e2a\u6587\u6863\u4e2d\u9891\u7e41\u51fa\u73b0\uff0c\u4f46\u5728\u6240\u6709\u6587\u6863\u4e2d\u51fa\u73b0\u9891\u7387\u8f83\u4f4e\u3002<\/li>\n\n\n\n<li><strong>\u51cf\u5c11\u5e38\u89c1\u8bcd\u7684\u6743\u91cd<\/strong>\uff1a\u5e38\u89c1\u8bcd\u5982 \"the\"\u3001\"is\" \u7b49\u867d\u7136\u5728\u6587\u6863\u4e2d\u9891\u7e41\u51fa\u73b0\uff0c\u4f46\u5b83\u4eec\u5bf9\u6587\u6863\u7684\u533a\u5206\u5ea6\u8d21\u732e\u8f83\u4f4e\u3002IDF \u7684\u5f15\u5165\u51cf\u5c11\u4e86\u8fd9\u4e9b\u5e38\u89c1\u8bcd\u7684\u6743\u91cd\uff0c\u4f7f\u5f97\u91cd\u8981\u7684\u4f46\u4e0d\u5e38\u89c1\u7684\u8bcd\u6c47\u80fd\u591f\u8131\u9896\u800c\u51fa\u3002<\/li>\n\n\n\n<li><strong>\u63d0\u9ad8\u7279\u5f81\u7684\u533a\u5206\u80fd\u529b<\/strong>\uff1aTF-IDF \u6709\u52a9\u4e8e\u63d0\u9ad8\u7279\u5f81\u7684\u533a\u5206\u80fd\u529b\uff0c\u4f7f\u5f97\u6587\u672c\u5206\u7c7b\u3001\u805a\u7c7b\u548c\u641c\u7d22\u7b49\u4efb\u52a1\u66f4\u52a0\u6709\u6548\u3002\u5b83\u901a\u8fc7\u8d4b\u4e88\u91cd\u8981\u8bcd\u6c47\u66f4\u9ad8\u7684\u6743\u91cd\uff0c\u51cf\u5c11\u4e86\u65e0\u5173\u8bcd\u6c47\u7684\u5f71\u54cd\u3002<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">\u8ba1\u7b97\u6b65\u9aa4<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u8ba1\u7b97\u8bcd\u9891\uff08TF\uff09<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u8bcd\u9891\u662f\u8bcd\u6c47\u5728\u6587\u6863\u4e2d\u51fa\u73b0\u7684\u6b21\u6570\u3002\u5bf9\u4e8e\u6bcf\u4e2a\u6587\u6863\u4e2d\u7684\u6bcf\u4e2a\u8bcd\u6c47\uff0c\u8ba1\u7b97\u5176\u5728\u8be5\u6587\u6863\u4e2d\u51fa\u73b0\u7684\u9891\u7387\u3002<\/li>\n\n\n\n<li>\u516c\u5f0f\uff1aTF(w) = (\u8bcd\u6c47 w \u5728\u6587\u6863\u4e2d\u51fa\u73b0\u7684\u6b21\u6570) \/ (\u6587\u6863\u4e2d\u7684\u603b\u8bcd\u6c47\u6570)<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u8ba1\u7b97\u9006\u6587\u6863\u9891\u7387\uff08IDF\uff09<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u9006\u6587\u6863\u9891\u7387\u8861\u91cf\u8bcd\u6c47\u5728\u6574\u4e2a\u6587\u6863\u96c6\u5408\u4e2d\u51fa\u73b0\u7684\u7a00\u6709\u7a0b\u5ea6\u3002\u5e38\u89c1\u8bcd\u7684 IDF \u503c\u8f83\u4f4e\uff0c\u4e0d\u5e38\u89c1\u8bcd\u7684 IDF \u503c\u8f83\u9ad8\u3002<\/li>\n\n\n\n<li>\u516c\u5f0f\uff1aIDF(w) = log(\u603b\u6587\u6863\u6570 \/ \u5305\u542b\u8bcd\u6c47 w \u7684\u6587\u6863\u6570)<\/li>\n\n\n\n<li>\u4e3a\u4e86\u9632\u6b62\u9664\u96f6\u9519\u8bef\uff0c\u53ef\u4ee5\u6539\u4e3a\uff1aIDF(w) = log(\u603b\u6587\u6863\u6570 \/ (1 + \u5305\u542b\u8bcd\u6c47 w \u7684\u6587\u6863\u6570))<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u8ba1\u7b97 TF-IDF \u503c<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>TF-IDF \u503c\u662f\u8bcd\u9891\u548c\u9006\u6587\u6863\u9891\u7387\u7684\u4e58\u79ef\u3002\u5b83\u8868\u793a\u8bcd\u6c47\u5728\u6587\u6863\u4e2d\u7684\u91cd\u8981\u6027\u3002<\/li>\n\n\n\n<li>\u516c\u5f0f\uff1aTF-IDF(w) = TF(w) * IDF(w)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u5b9e\u4f8b<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b\u4e09\u4e2a\u6587\u6863\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6587\u68631\uff1a<code>\"this is a sample\"<\/code><\/li>\n\n\n\n<li>\u6587\u68632\uff1a<code>\"this is another example example\"<\/code><\/li>\n\n\n\n<li>\u6587\u68633\uff1a<code>\"example of another text\"<\/code><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u6b65\u9aa4 1\uff1a\u8ba1\u7b97\u8bcd\u9891\uff08TF\uff09<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>\u8bcd\u6c47<\/th><th>\u6587\u68631 (TF)<\/th><th>\u6587\u68632 (TF)<\/th><th>\u6587\u68633 (TF)<\/th><\/tr><\/thead><tbody><tr><td>this<\/td><td>1\/4<\/td><td>1\/5<\/td><td>0<\/td><\/tr><tr><td>is<\/td><td>1\/4<\/td><td>1\/5<\/td><td>0<\/td><\/tr><tr><td>a<\/td><td>1\/4<\/td><td>0<\/td><td>0<\/td><\/tr><tr><td>sample<\/td><td>1\/4<\/td><td>0<\/td><td>0<\/td><\/tr><tr><td>another<\/td><td>0<\/td><td>1\/5<\/td><td>1\/4<\/td><\/tr><tr><td>example<\/td><td>0<\/td><td>2\/5<\/td><td>1\/4<\/td><\/tr><tr><td>of<\/td><td>0<\/td><td>0<\/td><td>1\/4<\/td><\/tr><tr><td>text<\/td><td>0<\/td><td>0<\/td><td>1\/4<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">\u6b65\u9aa4 2\uff1a\u8ba1\u7b97\u9006\u6587\u6863\u9891\u7387\uff08IDF\uff09<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>\u8bcd\u6c47<\/th><th>IDF (\u603b\u6587\u6863\u6570 = 3)<\/th><\/tr><\/thead><tbody><tr><td>this<\/td><td>log(3\/2) = 0.1761<\/td><\/tr><tr><td>is<\/td><td>log(3\/2) = 0.1761<\/td><\/tr><tr><td>a<\/td><td>log(3\/1) = 0.4771<\/td><\/tr><tr><td>sample<\/td><td>log(3\/1) = 0.4771<\/td><\/tr><tr><td>another<\/td><td>log(3\/2) = 0.1761<\/td><\/tr><tr><td>example<\/td><td>log(3\/3) = 0.0<\/td><\/tr><tr><td>of<\/td><td>log(3\/1) = 0.4771<\/td><\/tr><tr><td>text<\/td><td>log(3\/1) = 0.4771<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">\u6b65\u9aa4 3\uff1a\u8ba1\u7b97 TF-IDF \u503c<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>\u8bcd\u6c47<\/th><th>\u6587\u68631 (TF-IDF)<\/th><th>\u6587\u68632 (TF-IDF)<\/th><th>\u6587\u68633 (TF-IDF)<\/th><\/tr><\/thead><tbody><tr><td>this<\/td><td>1\/4 * 0.1761 = 0.044<\/td><td>1\/5 * 0.1761 = 0.035<\/td><td>0<\/td><\/tr><tr><td>is<\/td><td>1\/4 * 0.1761 = 0.044<\/td><td>1\/5 * 0.1761 = 0.035<\/td><td>0<\/td><\/tr><tr><td>a<\/td><td>1\/4 * 0.4771 = 0.119<\/td><td>0<\/td><td>0<\/td><\/tr><tr><td>sample<\/td><td>1\/4 * 0.4771 = 0.119<\/td><td>0<\/td><td>0<\/td><\/tr><tr><td>another<\/td><td>0<\/td><td>1\/5 * 0.1761 = 0.035<\/td><td>1\/4 * 0.1761 = 0.044<\/td><\/tr><tr><td>example<\/td><td>0<\/td><td>2\/5 * 0.0 = 0<\/td><td>1\/4 * 0.0 = 0<\/td><\/tr><tr><td>of<\/td><td>0<\/td><td>0<\/td><td>1\/4 * 0.4771 = 0.119<\/td><\/tr><tr><td>text<\/td><td>0<\/td><td>0<\/td><td>1\/4 * 0.4771 = 0.119<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">\u7ed3\u8bba<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u901a\u8fc7\u8ba1\u7b97 TF-IDF \u503c\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u8861\u91cf\u8bcd\u6c47\u5728\u6587\u6863\u4e2d\u7684\u91cd\u8981\u6027\uff0c\u51cf\u5c11\u5e38\u89c1\u8bcd\u7684\u6743\u91cd\uff0c\u63d0\u9ad8\u7279\u5f81\u7684\u533a\u5206\u80fd\u529b\u3002\u8fd9\u5bf9\u4e8e\u6587\u672c\u5206\u7c7b\u3001\u805a\u7c7b\u548c\u641c\u7d22\u7b49\u4efb\u52a1\u975e\u5e38\u6709\u7528\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u975e\u539f\u521b\uff0cChatGPT \u751f\u6210 \u95ee\uff1a\u7279\u5f81\u5de5\u7a0b\u805a\u7c7b\u4efb\u52a1\uff0c\u5982\u679c\u6709\u4e00\u4e2a\u7279\u5f81\u662f\u6587\u672c\u7c7b\u578b\u7684\uff0c\u4e14\u53d8\u5316\u5f88\u5927\uff0c\u4e00\u822c\u600e\u4e48\u5904\u7406 \u5728\u7279&#8230; <\/p>\n<div class=\"read-more navbutton\"><a href=\"https:\/\/t.n-years.com\/?p=6201\">\u9605\u8bfb\u66f4\u591a<i class=\"fa fa-angle-double-right\"><\/i><\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[79],"class_list":["post-6201","post","type-post","status-publish","format-standard","hentry","category-5","tag-79"],"_links":{"self":[{"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/posts\/6201","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/t.n-years.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6201"}],"version-history":[{"count":2,"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/posts\/6201\/revisions"}],"predecessor-version":[{"id":6203,"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/posts\/6201\/revisions\/6203"}],"wp:attachment":[{"href":"https:\/\/t.n-years.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6201"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/t.n-years.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6201"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/t.n-years.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6201"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}