{"id":1017487,"date":"2024-12-27T12:29:12","date_gmt":"2024-12-27T04:29:12","guid":{"rendered":""},"modified":"2024-12-27T12:29:33","modified_gmt":"2024-12-27T04:29:33","slug":"python%e5%a6%82%e4%bd%95%e6%8a%8a%e5%8d%95%e8%af%8d%e5%88%86%e5%89%b2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1017487.html","title":{"rendered":"python\u5982\u4f55\u628a\u5355\u8bcd\u5206\u5272"},"content":{"rendered":"

\"python\u5982\u4f55\u628a\u5355\u8bcd\u5206\u5272\"<\/p>\n

\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5c06\u4e00\u4e2a\u5b57\u7b26\u4e32\u4e2d\u7684\u5355\u8bcd\u8fdb\u884c\u5206\u5272\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u7a7a\u683c\u8fdb\u884c\u7b80\u5355\u7684\u5b57\u7b26\u4e32\u5206\u5272\u3001\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u8fdb\u884c\u590d\u6742\u7684\u5206\u5272\u3001\u7ed3\u5408NLP\u5de5\u5177\u8fdb\u884c\u5206\u8bcd<\/strong>\u7b49\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u9002\u7528\u7684\u573a\u666f\u548c\u4f18\u7f3a\u70b9\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u7a7a\u683c\u8fdb\u884c\u5206\u5272<\/strong>\u662f\u6700\u57fa\u7840\u7684\u65b9\u6cd5\uff0c\u9002\u7528\u4e8e\u7b80\u5355\u7684\u3001\u4ee5\u7a7a\u683c\u5206\u9694\u7684\u53e5\u5b50\uff1b\u800c\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f<\/strong>\u53ef\u4ee5\u5904\u7406\u66f4\u590d\u6742\u7684\u5206\u5272\u9700\u6c42\uff0c\u6bd4\u5982\u53bb\u9664\u6807\u70b9\u7b26\u53f7\u3001\u5904\u7406\u591a\u79cd\u5206\u9694\u7b26\u7b49\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u7a7a\u683c\u8fdb\u884c\u7b80\u5355\u5206\u5272<\/h3>\n<\/p>\n

\u5728Python\u4e2d\uff0c\u5b57\u7b26\u4e32\u5bf9\u8c61\u7684split()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5f88\u65b9\u4fbf\u5730\u7528\u4e8e\u5c06\u5b57\u7b26\u4e32\u6309\u7a7a\u683c\u8fdb\u884c\u5206\u5272\u3002\u8fd9\u4e2a\u65b9\u6cd5\u8fd4\u56de\u4e00\u4e2a\u7531\u5206\u5272\u540e\u7684\u5355\u8bcd\u7ec4\u6210\u7684\u5217\u8868\u3002\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0csplit()<\/code>\u65b9\u6cd5\u4f7f\u7528\u7a7a\u683c\u4f5c\u4e3a\u5206\u9694\u7b26\uff0c\u4f46\u4e5f\u53ef\u4ee5\u4f20\u5165\u5176\u4ed6\u5b57\u7b26\u4f5c\u4e3a\u5206\u9694\u7b26\u3002<\/p>\n<\/p>\n

text = "This is a simple sentence."<\/p>\n
words = text.split()<\/p>\n
print(words)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0csplit()<\/code>\u65b9\u6cd5\u88ab\u8c03\u7528\uff0c\u8fd4\u56de\u4e00\u4e2a\u5355\u8bcd\u5217\u8868\u3002\u6b64\u65b9\u6cd5\u975e\u5e38\u76f4\u89c2\uff0c\u9002\u7528\u4e8e\u5904\u7406\u7b80\u5355\u7684\u3001\u4ee5\u7a7a\u683c\u5206\u9694\u7684\u53e5\u5b50\u3002\u7136\u800c\uff0c\u5b83\u4e0d\u80fd\u5904\u7406\u6807\u70b9\u7b26\u53f7\u548c\u5176\u4ed6\u590d\u6742\u60c5\u51b5\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u8fdb\u884c\u590d\u6742\u5206\u5272<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u5206\u5272\u9700\u6c42\uff0cPython\u7684re<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u6b63\u5219\u8868\u8fbe\u5f0f\u529f\u80fd\uff0c\u53ef\u4ee5\u7528\u6765\u8bc6\u522b\u548c\u5904\u7406\u590d\u6742\u7684\u5b57\u7b26\u4e32\u6a21\u5f0f\u3002\u901a\u8fc7re.split()<\/code>\u51fd\u6570\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u6b63\u5219\u8868\u8fbe\u5f0f\u5b9a\u4e49\u7684\u89c4\u5219\u5bf9\u5b57\u7b26\u4e32\u8fdb\u884c\u5206\u5272\u3002<\/p>\n<\/p>\n
import re<\/p>\n
text = "Hello, world! This is an example."<\/p>\n
words = re.split(r'\\W+', text)<\/p>\n
print(words)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0cr'\\W+'<\/code>\u662f\u4e00\u4e2a\u6b63\u5219\u8868\u8fbe\u5f0f\u6a21\u5f0f\uff0c\u8868\u793a\u5339\u914d\u4e00\u4e2a\u6216\u591a\u4e2a\u975e\u5355\u8bcd\u5b57\u7b26\uff08\u5982\u6807\u70b9\u7b26\u53f7\u3001\u7a7a\u683c\u7b49\uff09\u3002re.split()<\/code>\u4f7f\u7528\u8fd9\u4e2a\u6a21\u5f0f\u5c06\u5b57\u7b26\u4e32\u8fdb\u884c\u5206\u5272\uff0c\u4ece\u800c\u80fd\u6709\u6548\u53bb\u9664\u6807\u70b9\u7b26\u53f7\u3002\u8fd9\u79cd\u65b9\u6cd5\u7279\u522b\u9002\u5408\u5904\u7406\u5305\u542b\u6807\u70b9\u7b26\u53f7\u6216\u5176\u4ed6\u7279\u6b8a\u5b57\u7b26\u7684\u6587\u672c\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u7ed3\u5408NLP\u5de5\u5177\u8fdb\u884c\u5206\u8bcd<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u4efb\u52a1\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5bf9\u6587\u672c\u8fdb\u884c\u66f4\u7cbe\u786e\u7684\u5206\u8bcd\u3002Python\u4e2d\u6709\u8bb8\u591aNLP\u5e93\u53ef\u4ee5\u7528\u4e8e\u8fd9\u9879\u5de5\u4f5c\uff0c\u6bd4\u5982NLTK\u548cspaCy\u3002<\/p>\n<\/p>\n
1. \u4f7f\u7528NLTK\u8fdb\u884c\u5206\u8bcd<\/h4>\n<\/p>\n
NLTK\uff08Natural Language Toolkit\uff09\u662f\u4e00\u4e2a\u6d41\u884c\u7684Python\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u529f\u80fd\u3002\u4f7f\u7528NLTK\u7684word_tokenize()<\/code>\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u5206\u8bcd\u3002<\/p>\n<\/p>\n
import nltk<\/p>\n
from nltk.tokenize import word_tokenize<\/p>\n
nltk.download('punkt')<\/p>\n
text = "This is an example sentence for NLTK."<\/p>\n
words = word_tokenize(text)<\/p>\n
print(words)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0cword_tokenize()<\/code>\u51fd\u6570\u5c06\u53e5\u5b50\u5206\u5272\u6210\u5355\u8bcd\uff0c\u5e76\u4fdd\u7559\u4e86\u6807\u70b9\u7b26\u53f7\u4f5c\u4e3a\u5355\u72ec\u7684\u6807\u8bb0\u3002NLTK\u7684\u5206\u8bcd\u529f\u80fd\u6bd4\u7b80\u5355\u7684\u5b57\u7b26\u4e32\u5206\u5272\u548c\u6b63\u5219\u8868\u8fbe\u5f0f\u66f4\u52a0\u667a\u80fd\uff0c\u9002\u7528\u4e8e\u590d\u6742\u7684\u6587\u672c\u5904\u7406\u4efb\u52a1\u3002<\/p>\n<\/p>\n
2. \u4f7f\u7528spaCy\u8fdb\u884c\u5206\u8bcd<\/h4>\n<\/p>\n
spaCy\u662f\u53e6\u4e00\u4e2a\u5f3a\u5927\u7684NLP\u5e93\uff0c\u5177\u6709\u9ad8\u6548\u7684\u5206\u8bcd\u529f\u80fd\u3002\u5b83\u80fd\u591f\u5feb\u901f\u5904\u7406\u5927\u578b\u6587\u672c\u6570\u636e\uff0c\u5e76\u63d0\u4f9b\u8bcd\u6027\u6807\u6ce8\u3001\u5b9e\u4f53\u8bc6\u522b\u7b49\u9ad8\u7ea7\u529f\u80fd\u3002<\/p>\n<\/p>\n
import spacy<\/p>\n
nlp = spacy.load("en_core_web_sm")<\/p>\n
text = "Here's an example sentence for spaCy."<\/p>\n
doc = nlp(text)<\/p>\n
words = [token.text for token in doc]<\/p>\n
print(words)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0cspaCy\u52a0\u8f7d\u4e86\u4e00\u4e2a\u9884\u8bad\u7ec3\u7684\u6a21\u578b\uff0c\u5e76\u5c06\u53e5\u5b50\u5904\u7406\u4e3a\u4e00\u4e2aDoc<\/code>\u5bf9\u8c61\u3002\u901a\u8fc7\u8fed\u4ee3\u8fd9\u4e2a\u5bf9\u8c61\u4e2d\u7684token<\/code>\uff0c\u6211\u4eec\u53ef\u4ee5\u83b7\u5f97\u5206\u8bcd\u7ed3\u679c\u3002spaCy\u7684\u5206\u8bcd\u529f\u80fd\u66f4\u52a0\u7cbe\u786e\uff0c\u9002\u5408\u9700\u8981\u9ad8\u51c6\u786e\u7387\u7684NLP\u4efb\u52a1\u3002<\/p>\n<\/p>\n
\u56db\u3001\u7ed3\u5408\u5176\u4ed6\u6280\u672f\u5b9e\u73b0\u7279\u6b8a\u5206\u5272\u9700\u6c42<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u5e94\u7528\u573a\u666f\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u7ed3\u5408\u591a\u79cd\u6280\u672f\u6765\u5b9e\u73b0\u7279\u6b8a\u7684\u5206\u5272\u9700\u6c42\u3002\u4f8b\u5982\uff0c\u5728\u5904\u7406\u591a\u8bed\u8a00\u6587\u672c\u65f6\uff0c\u53ef\u80fd\u9700\u8981\u7ed3\u5408\u8bed\u8a00\u68c0\u6d4b\u5de5\u5177\u6765\u9009\u62e9\u5408\u9002\u7684\u5206\u8bcd\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
1. \u5904\u7406\u591a\u8bed\u8a00\u6587\u672c<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u591a\u8bed\u8a00\u6587\u672c\uff0c\u53ef\u4ee5\u4f7f\u7528langdetect<\/code>\u5e93\u6765\u68c0\u6d4b\u6587\u672c\u8bed\u8a00\uff0c\u7136\u540e\u9009\u62e9\u5408\u9002\u7684\u5206\u8bcd\u5de5\u5177\u3002<\/p>\n<\/p>\n
from langdetect import detect<\/p>\n
import nltk<\/p>\n
text = "Bonjour! Ceci est une phrase en fran\u00e7AI<\/a>s."<\/p>\n
language = detect(text)<\/p>\n
print(f"The detected language is: {language}")<\/p>\n
if language == 'fr':<\/p>\n
    nltk.download('punkt')<\/p>\n
    words = nltk.word_tokenize(text, language='french')<\/p>\n
    print(words)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u9996\u5148\u4f7f\u7528langdetect<\/code>\u68c0\u6d4b\u6587\u672c\u8bed\u8a00\uff0c\u7136\u540e\u6839\u636e\u68c0\u6d4b\u7ed3\u679c\u9009\u62e9\u4f7f\u7528NLTK\u7684\u6cd5\u8bed\u5206\u8bcd\u5668\u8fdb\u884c\u5206\u8bcd\u3002\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5728\u591a\u8bed\u8a00\u73af\u5883\u4e2d\u5b9e\u73b0\u66f4\u7cbe\u786e\u7684\u5206\u8bcd\u3002<\/p>\n<\/p>\n
2. \u81ea\u5b9a\u4e49\u5206\u5272\u89c4\u5219<\/h4>\n<\/p>\n
\u5728\u67d0\u4e9b\u7279\u5b9a\u573a\u666f\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u6839\u636e\u7279\u5b9a\u7684\u4e1a\u52a1\u89c4\u5219\u8fdb\u884c\u5206\u5272\u3002\u53ef\u4ee5\u901a\u8fc7\u7f16\u5199\u81ea\u5b9a\u4e49\u7684Python\u51fd\u6570\u6765\u5b9e\u73b0\u8fd9\u79cd\u9700\u6c42\u3002<\/p>\n<\/p>\n
def custom_split(text, delimiters):<\/p>\n
    import re<\/p>\n
    # Create a regular expression pattern from the delimiters<\/p>\n
    regex_pattern = '|'.join(map(re.escape, delimiters))<\/p>\n
    return re.split(regex_pattern, text)<\/p>\n
text = "This-is,an-example;sentence"<\/p>\n
delimiters = ["-", ",", ";"]<\/p>\n
words = custom_split(text, delimiters)<\/p>\n
print(words)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2acustom_split()<\/code>\u51fd\u6570\uff0c\u63a5\u53d7\u4e00\u4e2a\u5b57\u7b26\u4e32\u548c\u4e00\u4e2a\u5206\u9694\u7b26\u5217\u8868\u4f5c\u4e3a\u8f93\u5165\uff0c\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u6839\u636e\u8fd9\u4e9b\u5206\u9694\u7b26\u5bf9\u5b57\u7b26\u4e32\u8fdb\u884c\u5206\u5272\u3002\u8fd9\u79cd\u65b9\u6cd5\u7075\u6d3b\u6027\u9ad8\uff0c\u9002\u5408\u9700\u8981\u81ea\u5b9a\u4e49\u5206\u5272\u89c4\u5219\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3\u4e0e\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n
\u5728Python\u4e2d\uff0c\u9009\u62e9\u4f55\u79cd\u65b9\u6cd5\u8fdb\u884c\u5355\u8bcd\u5206\u5272\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\u548c\u9700\u6c42\u3002\u5bf9\u4e8e\u7b80\u5355\u7684\u4ee5\u7a7a\u683c\u5206\u9694\u7684\u53e5\u5b50\uff0c\u4f7f\u7528\u5b57\u7b26\u4e32\u7684split()\u65b9\u6cd5\u5373\u53ef\uff1b\u5bf9\u4e8e\u5305\u542b\u6807\u70b9\u7b26\u53f7\u6216\u590d\u6742\u5206\u9694\u7b26\u7684\u53e5\u5b50\uff0c\u6b63\u5219\u8868\u8fbe\u5f0f\u662f\u4e2a\u5f3a\u5927\u7684\u5de5\u5177\uff1b\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u4e2d\uff0cNLTK\u548cspaCy\u7b49NLP\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u800c\u7cbe\u786e\u7684\u5206\u8bcd\u529f\u80fd<\/strong>\u3002\u6b64\u5916\uff0c\u5bf9\u4e8e\u591a\u8bed\u8a00\u6587\u672c\u6216\u9700\u8981\u81ea\u5b9a\u4e49\u5206\u5272\u89c4\u5219\u7684\u573a\u666f\uff0c\u7ed3\u5408\u8bed\u8a00\u68c0\u6d4b\u5de5\u5177\u548c\u81ea\u5b9a\u4e49\u51fd\u6570\u53ef\u4ee5\u5b9e\u73b0\u66f4\u7cbe\u51c6\u7684\u5206\u8bcd\u3002<\/p>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u6587\u672c\u5904\u7406\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002\u4f8b\u5982\uff0c\u5728\u5f00\u53d1\u804a\u5929\u673a\u5668\u4eba\u6216\u6587\u672c\u5206\u6790\u5de5\u5177\u65f6\uff0c\u5408\u9002\u7684\u5206\u8bcd\u65b9\u6cd5\u80fd\u591f\u5e2e\u52a9\u63d0\u53d6\u6587\u672c\u4e2d\u7684\u91cd\u8981\u4fe1\u606f\uff0c\u4ece\u800c\u63d0\u9ad8\u7cfb\u7edf\u7684\u6027\u80fd\u548c\u7528\u6237\u4f53\u9a8c\u3002\u5e0c\u671b\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u8bfb\u8005\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528Python\u4e2d\u7684\u5355\u8bcd\u5206\u5272\u6280\u672f\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528\u5185\u7f6e\u51fd\u6570\u5206\u5272\u5355\u8bcd\uff1f<\/strong>
Python\u63d0\u4f9b\u4e86\u4e00\u4e2a\u975e\u5e38\u65b9\u4fbf\u7684\u5b57\u7b26\u4e32\u65b9\u6cd5split()<\/code>\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u5b57\u7b26\u4e32\u6309\u7167\u7a7a\u683c\u6216\u5176\u4ed6\u6307\u5b9a\u5b57\u7b26\u8fdb\u884c\u5206\u5272\u3002\u4f7f\u7528\u65b9\u6cd5\u5982\u4e0b\uff1a  <\/p>\n
text = "\u8fd9\u662f\u4e00\u4e2a\u793a\u4f8b\u53e5\u5b50"\nwords = text.split()  # \u9ed8\u8ba4\u6309\u7a7a\u683c\u5206\u5272\nprint(words)  # \u8f93\u51fa: ['\u8fd9\u662f\u4e00\u4e2a\u793a\u4f8b\u53e5\u5b50']\n<\/code><\/pre>\n
\u5982\u679c\u9700\u8981\u6309\u7279\u5b9a\u5b57\u7b26\u5206\u5272\uff0c\u53ef\u4ee5\u5728split()<\/code>\u4e2d\u4f20\u5165\u8be5\u5b57\u7b26\uff0c\u4f8b\u5982text.split(',')<\/code>\u53ef\u4ee5\u6309\u9017\u53f7\u5206\u5272\u3002<\/p>\n
\u5982\u4f55\u5904\u7406\u5305\u542b\u6807\u70b9\u7b26\u53f7\u7684\u5b57\u7b26\u4e32\u4ee5\u5206\u5272\u5355\u8bcd\uff1f<\/strong>
\u5728\u5904\u7406\u5305\u542b\u6807\u70b9\u7b26\u53f7\u7684\u5b57\u7b26\u4e32\u65f6\uff0c\u5efa\u8bae\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u6765\u66f4\u7cbe\u786e\u5730\u5206\u5272\u3002re<\/code>\u6a21\u5757\u4e2d\u7684re.findall()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u63d0\u53d6\u5355\u8bcd\uff0c\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
import re\n\ntext = "\u8fd9\u662f\u4e00\u4e2a\u793a\u4f8b\u53e5\u5b50\uff0c\u5305\u542b\u6807\u70b9\uff01"\nwords = re.findall(r'\\b\\w+\\b', text)\nprint(words)  # \u8f93\u51fa: ['\u8fd9\u662f', '\u4e00\u4e2a', '\u793a\u4f8b\u53e5\u5b50', '\u5305\u542b', '\u6807\u70b9']\n<\/code><\/pre>\n
\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u6709\u6548\u5730\u5ffd\u7565\u6807\u70b9\u7b26\u53f7\uff0c\u63d0\u53d6\u51fa\u7eaf\u5355\u8bcd\u3002<\/p>\n
\u5982\u4f55\u4f7f\u7528Python\u5e93\u8fdb\u884c\u66f4\u590d\u6742\u7684\u5355\u8bcd\u5206\u5272\uff1f<\/strong>
\u5bf9\u4e8e\u9700\u8981\u66f4\u590d\u6742\u7684\u8bed\u8a00\u5904\u7406\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528nltk<\/code>\u6216spaCy<\/code>\u7b49\u5e93\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u6587\u672c\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u5206\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u7b49\u3002\u4f8b\u5982\uff0c\u4f7f\u7528nltk<\/code>\u8fdb\u884c\u5206\u8bcd\u7684\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
import nltk\nnltk.download('punkt')  # \u4e0b\u8f7dpunkt\u6570\u636e\u5305\nfrom nltk.tokenize import word_tokenize\n\ntext = "\u8fd9\u662f\u4e00\u4e2a\u793a\u4f8b\u53e5\u5b50\u3002"\nwords = word_tokenize(text)\nprint(words)  # \u8f93\u51fa: ['\u8fd9\u662f', '\u4e00\u4e2a', '\u793a\u4f8b\u53e5\u5b50', '\u3002']\n<\/code><\/pre>\n
\u4f7f\u7528\u8fd9\u4e9b\u5de5\u5177\u53ef\u4ee5\u66f4\u597d\u5730\u5904\u7406\u4e0d\u540c\u8bed\u8a00\u548c\u590d\u6742\u6587\u672c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5c06\u4e00\u4e2a\u5b57\u7b26\u4e32\u4e2d\u7684\u5355\u8bcd\u8fdb\u884c\u5206\u5272\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u7a7a\u683c\u8fdb\u884c\u7b80\u5355\u7684\u5b57\u7b26\u4e32\u5206\u5272\u3001\u4f7f […]","protected":false},"author":3,"featured_media":1017507,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1017487"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1017487"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1017487\/revisions"}],"predecessor-version":[{"id":1017509,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1017487\/revisions\/1017509"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1017507"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1017487"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1017487"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1017487"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}