{"id":117867,"date":"2026-10-25T19:08:37","date_gmt":"2026-10-25T11:08:37","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/117867.html"},"modified":"2026-10-25T19:08:37","modified_gmt":"2026-10-25T11:08:37","slug":"serpbase-%e7%9a%84-paa-%e9%a2%98%e5%ba%93%e6%80%8e%e4%b9%88%e6%b8%85%e6%b4%97%ef%bc%9a%e5%8e%bb%e9%87%8d%e3%80%81%e8%81%9a%e7%b1%bb%e3%80%81%e6%84%8f%e5%9b%be%e6%a0%87%e6%b3%a8%ef%bc%88%e9%99%84","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/117867.html","title":{"rendered":"SerpBase \u7684 PAA \u9898\u5e93\u600e\u4e48\u6e05\u6d17\uff1a\u53bb\u91cd\u3001\u805a\u7c7b\u3001\u610f\u56fe\u6807\u6ce8\uff08\u9644\u4ee3\u7801\uff09"},"content":{"rendered":"

\u7528\u300c\u76f8\u5173\u95ee\u9898\u300d（people_also_ask）\u505a\u9009\u9898\u5e93，\u662f\u4e2a\u5f88\u987a\u624b\u7684\u529e\u6cd5：\u7528\u6237\u771f\u5b9e\u5728\u95ee\u4ec0\u4e48，\u8c37\u6b4c\u76f4\u63a5\u6446\u5728\u4f60\u9762\u524d\u3002\u4f46\u771f\u8dd1\u51e0\u5341\u4e2a\u5173\u952e\u8bcd\u5c31\u4f1a\u53d1\u73b0\u4e00\u4e2a\u95ee\u9898\u2014\u2014\u540c\u4e00\u6279\u95ee\u9898\u53cd\u590d\u51fa\u73b0，\u800c\u4e14\u63aa\u8f9e\u8fd8\u4e0d\u4e00\u6837：\u300c\u600e\u4e48\u5b66 Python\u300d\u300c\u5982\u4f55\u5b66 Python\u300d\u300c\u5b66 Python \u7684\u65b9\u6cd5\u300d，\u4e09\u6761\u5176\u5b9e\u662f\u4e00\u6761\u3002<\/p>\n

\u76f4\u63a5\u5806\u8d77\u6765，\u51e0\u767e\u6761\u91cc\u4e00\u534a\u662f\u91cd\u590d\u3002\u8fd9\u7bc7\u628a\u9898\u5e93\u6e05\u6d17\u6210\u53ef\u7528\u7684\u6837\u5b50：\u53bb\u91cd\u3001\u805a\u7c7b\u3001\u6807\u610f\u56fe\u3002<\/p>\n

\u53d6\u6570：\u4e00\u6b21\u641c\u7d22\u5e26\u51fa\u95ee\u9898<\/h3>\n

\u7f51\u9875\u641c\u7d22（1 credit\/\u6b21）\u7684\u54cd\u5e94\u91cc，people_also_ask \u662f\u53ef\u9009\u6a21\u5757，\u6bcf\u6761\u901a\u5e38\u5e26 question\u3001answer \u548c\u6765\u6e90\u94fe\u63a5：<\/p>\n

import<\/span> os
\nimport<\/span> requests<\/p>\n

def<\/span> fetch_questions<\/span>(<\/span>q:<\/span> str<\/span>)<\/span> –<\/span>><\/span> list<\/span>[<\/span>dict<\/span>]<\/span>:<\/span>
\n data =<\/span> requests.<\/span>post(<\/span>
\n "https:\/\/api.serpbase.dev\/google\/search"<\/span>,<\/span>
\n headers=<\/span>{<\/span>"Content-Type"<\/span>:<\/span> "application\/json"<\/span>,<\/span>
\n "X-API-Key"<\/span>:<\/span> os.<\/span>environ[<\/span>"SERP_BASE_API_KEY"<\/span>]<\/span>}<\/span>,<\/span>
\n json=<\/span>{<\/span>"q"<\/span>:<\/span> q,<\/span> "hl"<\/span>:<\/span> "zh-cn"<\/span>,<\/span> "gl"<\/span>:<\/span> "cn"<\/span>}<\/span>,<\/span>
\n timeout=<\/span>(<\/span>5<\/span>,<\/span> 30<\/span>)<\/span>,<\/span>
\n )<\/span>.<\/span>json(<\/span>)<\/span>
\n if<\/span> data.<\/span>get(<\/span>"status"<\/span>)<\/span> !=<\/span> 0<\/span>:<\/span>
\n return<\/span> [<\/span>]<\/span>
\n return<\/span> data.<\/span>get(<\/span>"people_also_ask"<\/span>)<\/span> or<\/span> [<\/span>]<\/span><\/p>\n

rows =<\/span> [<\/span>]<\/span>
\nfor<\/span> kw in<\/span> keywords:<\/span>
\n for<\/span> item in<\/span> fetch_questions(<\/span>kw)<\/span>:<\/span>
\n rows.<\/span>append(<\/span>{<\/span>"keyword"<\/span>:<\/span> kw,<\/span> "question"<\/span>:<\/span> item.<\/span>get(<\/span>"question"<\/span>,<\/span> ""<\/span>)<\/span>}<\/span>)<\/span><\/p>\n

\u7b2c\u4e00\u6b65：\u89c4\u8303\u5316，\u5148\u7edf\u4e00\u300c\u8bf4\u6cd5\u300d<\/h3>\n

\u53bb\u91cd\u4e4b\u524d\u5148\u5f52\u4e00，\u5426\u5219\u300c\u600e\u4e48\u300d\u548c\u300c\u5982\u4f55\u300d\u6c38\u8fdc\u5bf9\u4e0d\u4e0a：<\/p>\n

import<\/span> re<\/p>\n

SYNONYMS =<\/span> [<\/span>
\n (<\/span>"\u5982\u4f55"<\/span>,<\/span> "\u600e\u4e48"<\/span>)<\/span>,<\/span> (<\/span>"\u600e\u6837"<\/span>,<\/span> "\u600e\u4e48"<\/span>)<\/span>,<\/span> (<\/span>"\u65b9\u6cd5"<\/span>,<\/span> "\u600e\u4e48"<\/span>)<\/span>,<\/span>
\n (<\/span>"\u54ea\u4e9b"<\/span>,<\/span> "\u4ec0\u4e48"<\/span>)<\/span>,<\/span> (<\/span>"\u4e3a\u4ec0\u4e48"<\/span>,<\/span> "\u539f\u56e0"<\/span>)<\/span>,<\/span>
\n]<\/span><\/p>\n

def<\/span> normalize<\/span>(<\/span>q:<\/span> str<\/span>)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
\n q =<\/span> q.<\/span>strip(<\/span>)<\/span>.<\/span>lower(<\/span>)<\/span>
\n q =<\/span> re.<\/span>sub(<\/span>r"[\\\\s，\u3002！？\u3001,.!?：:；;\\\\"'（）()\u3010\u3011\\\\[\\\\]]"<\/span>,<\/span> ""<\/span>,<\/span> q)<\/span>
\n for<\/span> a,<\/span> b in<\/span> SYNONYMS:<\/span>
\n q =<\/span> q.<\/span>replace(<\/span>a,<\/span> b)<\/span>
\n return<\/span> q<\/p>\n

\u8fd9\u4e00\u6b65\u4f1a\u635f\u5931\u4e00\u70b9\u8bed\u4e49，\u6362\u6765\u7684\u662f\u53bb\u91cd\u51c6\u786e\u7387\u7684\u5927\u5e45\u63d0\u5347\u3002\u4e2d\u6587\u9898\u5e93\u4e0d\u6e05\u6d17，\u53bb\u91cd\u5c31\u662f\u81ea\u6b3a\u6b3a\u4eba\u3002<\/p>\n

\u7b2c\u4e8c\u6b65：\u6a21\u7cca\u53bb\u91cd<\/h3>\n

\u5f52\u4e00\u4e4b\u540e\u4ecd\u6709\u8bed\u5e8f\u5dee\u5f02，\u7528\u76f8\u4f3c\u5ea6\u515c\u5e95\u3002rapidfuzz \u6bd4\u6807\u51c6\u5e93\u5feb\u5f97\u591a：<\/p>\n

from<\/span> rapidfuzz import<\/span> fuzz<\/p>\n

def<\/span> dedupe<\/span>(<\/span>items:<\/span> list<\/span>[<\/span>dict<\/span>]<\/span>,<\/span> threshold:<\/span> int<\/span> =<\/span> 90<\/span>)<\/span> –<\/span>><\/span> list<\/span>[<\/span>dict<\/span>]<\/span>:<\/span>
\n kept =<\/span> [<\/span>]<\/span>
\n for<\/span> it in<\/span> items:<\/span>
\n norm =<\/span> normalize(<\/span>it[<\/span>"question"<\/span>]<\/span>)<\/span>
\n dup =<\/span> False<\/span>
\n for<\/span> k in<\/span> kept:<\/span>
\n if<\/span> fuzz.<\/span>token_set_ratio(<\/span>norm,<\/span> k[<\/span>"norm"<\/span>]<\/span>)<\/span> >=<\/span> threshold:<\/span>
\n k[<\/span>"sources"<\/span>]<\/span>.<\/span>add(<\/span>it[<\/span>"keyword"<\/span>]<\/span>)<\/span>
\n dup =<\/span> True<\/span>
\n break<\/span>
\n if<\/span> not<\/span> dup:<\/span>
\n kept.<\/span>append(<\/span>{<\/span>**<\/span>it,<\/span> "norm"<\/span>:<\/span> norm,<\/span> "sources"<\/span>:<\/span> {<\/span>it[<\/span>"keyword"<\/span>]<\/span>}<\/span>}<\/span>)<\/span>
\n return<\/span> kept<\/p>\n

\u9608\u503c 90 \u662f\u4e2a\u8d77\u70b9：\u4f4e\u4e86\u4f1a\u8bef\u5220（\u300c\u600e\u4e48\u5b66 Python\u300d\u548c\u300c\u600e\u4e48\u5b66 Java\u300d\u53ef\u80fd\u88ab\u5408\u5e76），\u9ad8\u4e86\u6f0f\u5220\u3002\u5148\u62bd\u6837\u770b\u4e8c\u5341\u5bf9，\u518d\u5b9a\u9608\u503c\u3002<\/p>\n

\u7b2c\u4e09\u6b65：\u805a\u7c7b，\u628a\u95ee\u9898\u5206\u6210\u4e3b\u9898<\/h3>\n

\u53bb\u91cd\u5b8c\u8fd8\u6709\u51e0\u767e\u6761，\u9700\u8981\u6309\u4e3b\u9898\u5f52\u5806\u3002\u6700\u7b80\u5355\u7684\u505a\u6cd5\u662f TF-IDF \u52a0\u5c42\u6b21\u805a\u7c7b：<\/p>\n

from<\/span> sklearn.<\/span>cluster import<\/span> AgglomerativeClustering
\nfrom<\/span> sklearn.<\/span>feature_extraction.<\/span>text import<\/span> TfidfVectorizer<\/p>\n

texts =<\/span> [<\/span>k[<\/span>"norm"<\/span>]<\/span> for<\/span> k in<\/span> kept]<\/span>
\nvec =<\/span> TfidfVectorizer(<\/span>analyzer=<\/span>"char"<\/span>,<\/span> ngram_range=<\/span>(<\/span>2<\/span>,<\/span> 3<\/span>)<\/span>,<\/span> min_df=<\/span>2<\/span>)<\/span>
\nX =<\/span> vec.<\/span>fit_transform(<\/span>texts)<\/span><\/p>\n

clusters =<\/span> AgglomerativeClustering(<\/span>
\n n_clusters=<\/span>12<\/span>,<\/span> metric=<\/span>"cosine"<\/span>,<\/span> linkage=<\/span>"average"<\/span>
\n)<\/span>.<\/span>fit_predict(<\/span>X)<\/span><\/p>\n

for<\/span> k,<\/span> c in<\/span> zip<\/span>(<\/span>kept,<\/span> clusters)<\/span>:<\/span>
\n k[<\/span>"cluster"<\/span>]<\/span> =<\/span> int<\/span>(<\/span>c)<\/span><\/p>\n

\u5b57\u7b26 n-gram \u5bf9\u4e2d\u6587\u77ed\u53e5\u6bd4\u8bcd\u7ea7\u5207\u5206\u66f4\u7a33，\u4e0d\u7528\u989d\u5916\u88c5\u5206\u8bcd\u5668\u3002\u7c07\u6570\u5148\u6309\u300c\u8bcd\u91cf \u00f7 30\u300d\u4f30，\u518d\u4eba\u5de5\u8c03\u6574\u3002<\/p>\n

\u7b2c\u56db\u6b65：\u6807\u610f\u56fe<\/h3>\n

\u89c4\u5219\u8db3\u591f\u7528，\u4e0d\u5fc5\u4e0a\u6a21\u578b：<\/p>\n

RULES =<\/span> {<\/span>
\n "\u539f\u56e0"<\/span>:<\/span> [<\/span>"\u4e3a\u4ec0\u4e48"<\/span>,<\/span> "\u539f\u56e0"<\/span>]<\/span>,<\/span>
\n "\u65b9\u6cd5"<\/span>:<\/span> [<\/span>"\u600e\u4e48"<\/span>,<\/span> "\u6b65\u9aa4"<\/span>,<\/span> "\u6559\u7a0b"<\/span>]<\/span>,<\/span>
\n "\u5bf9\u6bd4"<\/span>:<\/span> [<\/span>"\u54ea\u4e2a"<\/span>,<\/span> "\u5bf9\u6bd4"<\/span>,<\/span> "\u533a\u522b"<\/span>,<\/span> "vs"<\/span>]<\/span>,<\/span>
\n "\u4ea4\u6613"<\/span>:<\/span> [<\/span>"\u4ef7\u683c"<\/span>,<\/span> "\u591a\u5c11\u94b1"<\/span>,<\/span> "\u8d39\u7528"<\/span>,<\/span> "\u8d2d\u4e70"<\/span>]<\/span>,<\/span>
\n}<\/span><\/p>\n

def<\/span> tag_intent<\/span>(<\/span>q:<\/span> str<\/span>)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
\n for<\/span> label,<\/span> words in<\/span> RULES.<\/span>items(<\/span>)<\/span>:<\/span>
\n if<\/span> any<\/span>(<\/span>w in<\/span> q for<\/span> w in<\/span> words)<\/span>:<\/span>
\n return<\/span> label
\n return<\/span> "\u5176\u4ed6"<\/span><\/p>\n

\u8f93\u51fa\u6210\u8868：<\/p>\n

question | cluster | intent | sources | count<\/p>\n

sources \u662f\u8fd9\u6761\u95ee\u9898\u51fa\u73b0\u8fc7\u7684\u5173\u952e\u8bcd\u2014\u2014\u5b83\u6bd4\u95ee\u9898\u672c\u8eab\u66f4\u6709\u7528，\u80fd\u544a\u8bc9\u4f60\u300c\u54ea\u4e9b\u8bcd\u80cc\u540e\u662f\u540c\u4e00\u4e2a\u7591\u95ee\u300d\u3002<\/p>\n

\u4e94\u4e2a\u5751<\/h3>\n

\u5751 1：\u4e0d\u505a\u5f52\u4e00\u76f4\u63a5\u53bb\u91cd\u3002 \u300c\u5982\u4f55\u300d\u548c\u300c\u600e\u4e48\u300d\u88ab\u5f53\u6210\u4e24\u6761，\u9898\u5e93\u865a\u80d6\u3002<\/p>\n

\u5751 2：\u9608\u503c\u62cd\u8111\u888b\u3002 \u592a\u4f4e\u8bef\u5220\u3001\u592a\u9ad8\u6f0f\u5220\u3002\u5148\u4eba\u5de5\u62bd\u6837，\u518d\u5b9a\u9608\u503c\u3002<\/p>\n

\u5751 3：\u628a PAA \u5f53\u641c\u7d22\u91cf\u3002 \u6587\u6863\u660e\u786e：\u8fd9\u4e9b\u95ee\u9898\u548c\u8054\u60f3\u8bcd\u4e0d\u662f\u641c\u7d22\u91cf\u6d4b\u91cf\u3002\u5b83\u4ee3\u8868\u300c\u6709\u4eba\u95ee\u300d，\u4e0d\u4ee3\u8868\u300c\u5f88\u591a\u4eba\u95ee\u300d\u3002<\/p>\n

\u5751 4：\u4e0d\u8bb0\u6765\u6e90\u5173\u952e\u8bcd\u3002 \u4e22\u6389\u4e0a\u4e0b\u6587，\u540e\u9762\u505a\u5185\u5bb9\u89c4\u5212\u65f6\u4e0d\u77e5\u9053\u8fd9\u4e2a\u95ee\u9898\u8be5\u6302\u5728\u54ea\u7bc7\u6587\u7ae0\u4e0b\u3002<\/p>\n

\u5751 5：\u4e00\u6b21\u91c7\u96c6\u5f53\u6c38\u4e45\u3002 PAA \u4f1a\u968f\u65f6\u95f4\u53d8，\u4e00\u5b63\u5ea6\u91cd\u91c7\u4e00\u6b21，\u624d\u80fd\u770b\u5230\u5173\u6ce8\u70b9\u7684\u8fc1\u79fb\u3002<\/p>\n

\u5c0f\u7ed3<\/h3>\n

PAA \u9898\u5e93\u7684\u6e05\u6d17\u94fe：\u53d6\u6570（1 credit\/\u6b21）\u2192 \u89c4\u8303\u5316（\u540c\u4e49\u8bcd + \u53bb\u6807\u70b9）\u2192 \u6a21\u7cca\u53bb\u91cd（rapidfuzz）\u2192 \u805a\u7c7b（TF-IDF + \u5c42\u6b21）\u2192 \u610f\u56fe\u6807\u6ce8（\u89c4\u5219）\u3002\u6e05\u6d17\u5b8c\u7684\u9898\u5e93，\u624d\u914d\u53eb\u300c\u9009\u9898\u5e93\u300d；\u6ca1\u6e05\u6d17\u7684，\u53ea\u662f\u4e00\u5806\u91cd\u590d\u7684\u5b57\u7b26\u4e32\u3002<\/p>\n

people_also_ask \u7684\u5b57\u6bb5\u7ed3\u6784\u89c1 SerpBase \u6587\u6863\u3002\u4f60\u6e05\u6d17\u8fc7 PAA \u9898\u5e93\u5417？\u8bc4\u8bba\u533a\u804a\u804a\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u7528\u300c\u76f8\u5173\u95ee\u9898\u300d（people_also_ask）\u505a\u9009\u9898\u5e93，\u662f\u4e2a\u5f88\u987a\u624b\u7684\u529e\u6cd5：\u7528\u6237\u771f\u5b9e\u5728\u95ee\u4ec0\u4e48，\u8c37\u6b4c\u76f4\u63a5\u6446\u5728\u4f60\u9762\u524d\u3002\u4f46\u771f\u8dd1\u51e0\u5341\u4e2a\u5173\u952e\u8bcd\u5c31\u4f1a\u53d1\u73b0\u4e00\u4e2a\u95ee\u9898\u2014\u2014\u540c\u4e00\u6279\u95ee\u9898\u53cd\u590d\u51fa\u73b0，\u800c\u4e14\u63aa\u8f9e\u8fd8\u4e0d\u4e00\u6837：\u300c\u600e\u4e48\u5b66 Python\u300d\u300c\u5982\u4f55\u5b66 Python\u300d\u300c\u5b66 Python \u7684\u65b9\u6cd5\u300d，\u4e09\u6761\u5176\u5b9e\u662f\u4e00\u6761\u3002
\n\u76f4\u63a5\u5806\u8d77\u6765，\u51e0\u767e\u6761\u91cc\u4e00\u534a\u662f\u91cd\u590d\u3002\u8fd9\u7bc7\u628a\u9898\u5e93\u6e05\u6d17\u6210\u53ef\u7528\u7684\u6837\u5b50&#xf<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[81,62,3548],"topic":[],"class_list":["post-117867","post","type-post","status-publish","format-standard","hentry","category-server","tag-python","tag-62","tag-3548"],"yoast_head":"\nSerpBase \u7684 PAA \u9898\u5e93\u600e\u4e48\u6e05\u6d17\uff1a\u53bb\u91cd\u3001\u805a\u7c7b\u3001\u610f\u56fe\u6807\u6ce8\uff08\u9644\u4ee3\u7801\uff09 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\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.wsisp.com\/helps\/117867.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SerpBase \u7684 PAA \u9898\u5e93\u600e\u4e48\u6e05\u6d17\uff1a\u53bb\u91cd\u3001\u805a\u7c7b\u3001\u610f\u56fe\u6807\u6ce8\uff08\u9644\u4ee3\u7801\uff09 - 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