![\"python\u5982\u4f55\u63d0\u53d6\u6587\u672c\u4fe1\u606f\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25063419\/0176e17e-064a-43ea-9a47-88f4a74301e4.webp\")
<\/p>\n<\/p>\n
Python\u63d0\u53d6\u6587\u672c\u4fe1\u606f\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93\u3001\u6587\u672c\u6316\u6398\u5de5\u5177\u3001\u5b57\u7b26\u4e32\u65b9\u6cd5\u7b49\u3002\u901a\u8fc7\u6b63\u5219\u8868\u8fbe\u5f0f\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5339\u914d\u548c\u63d0\u53d6\u7279\u5b9a\u683c\u5f0f\u7684\u6587\u672c\uff1b\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93\u5982NLTK\u548cspaCy\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u89e3\u6790\u548c\u5206\u6790\u6587\u672c\uff1b\u6587\u672c\u6316\u6398\u5de5\u5177\u5982BeautifulSoup\u548cScrapy\u53ef\u4ee5\u7528\u4e8e\u4ece\u7f51\u9875\u4e2d\u63d0\u53d6\u4fe1\u606f\uff1b\u5185\u7f6e\u7684\u5b57\u7b26\u4e32\u65b9\u6cd5\u5219\u53ef\u4ee5\u7528\u4e8e\u7b80\u5355\u7684\u6587\u672c\u5904\u7406\u3002\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u8fdb\u884c\u6587\u672c\u63d0\u53d6\u662f\u5176\u4e2d\u4e00\u4e2a\u8f83\u4e3a\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u56e0\u4e3a\u5b83\u53ef\u4ee5\u7075\u6d3b\u5730\u5b9a\u4e49\u5339\u914d\u6a21\u5f0f\uff0c\u5e76\u4e14\u5728\u5904\u7406\u7ed3\u6784\u5316\u6587\u672c\u65f6\u975e\u5e38\u9ad8\u6548\u3002<\/strong><\/p>\n<\/p>\n \u6b63\u5219\u8868\u8fbe\u5f0f\uff08Regular Expressions\uff09\u662f\u5904\u7406\u6587\u672c\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u53ef\u4ee5\u7528\u4e8e\u67e5\u627e\u3001\u63d0\u53d6\u548c\u64cd\u4f5c\u5b57\u7b26\u4e32\u4e2d\u7684\u7279\u5b9a\u6a21\u5f0f\u3002Python\u7684 \u6b63\u5219\u8868\u8fbe\u5f0f\u4f7f\u7528\u7279\u5b9a\u7684\u8bed\u6cd5\u6765\u5339\u914d\u5b57\u7b26\u4e32\u4e2d\u7684\u6a21\u5f0f\u3002\u5e38\u89c1\u7684\u7b26\u53f7\u5305\u62ec\uff1a<\/p>\n<\/p>\n \u4f7f\u7528Python\u7684 text = "The price is 100 dollars and the discount is 20 dollars."<\/p>\n numbers = re.findall(r'\\d+', text)<\/p>\n print(numbers) # \u8f93\u51fa\uff1a['100', '20']<\/p>\n <\/code><\/pre>\n<\/p>\n \u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u5e93\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u6587\u672c\u5206\u6790\u529f\u80fd\uff0c\u5305\u62ec\u8bcd\u6027\u6807\u6ce8\u3001\u53e5\u6cd5\u5206\u6790\u3001\u5b9e\u4f53\u8bc6\u522b\u7b49\u3002Python\u4e2d\u5e38\u7528\u7684NLP\u5e93\u6709NLTK\u548cspaCy\u3002<\/p>\n<\/p>\n NLTK\uff08Natural Language Toolkit\uff09\u662f\u4e00\u4e2a\u5f3a\u5927\u7684NLP\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6587\u672c\u5904\u7406\u5de5\u5177\u3002<\/p>\n<\/p>\n from nltk.tokenize import word_tokenize<\/p>\n nltk.download('punkt')<\/p>\n text = "Python is a powerful programming language."<\/p>\n tokens = word_tokenize(text)<\/p>\n print(tokens) # \u8f93\u51fa\uff1a['Python', 'is', 'a', 'powerful', 'programming', 'language', '.']<\/p>\n <\/code><\/pre>\n<\/p>\n spaCy\u662f\u53e6\u4e00\u4e2a\u6d41\u884c\u7684NLP\u5e93\uff0c\u5177\u6709\u9ad8\u6548\u7684\u6587\u672c\u5904\u7406\u80fd\u529b\u3002<\/p>\n<\/p>\n nlp = spacy.load("en_core_web_sm")<\/p>\n text = "Python is a powerful programming language."<\/p>\n doc = nlp(text)<\/p>\n for token in doc:<\/p>\n print(token.text, token.pos_) # \u8f93\u51fa\u8bcd\u548c\u8bcd\u6027<\/p>\n <\/code><\/pre>\n<\/p>\n \u6587\u672c\u6316\u6398\u5de5\u5177\u53ef\u7528\u4e8e\u4ece\u7f51\u9875\u6216\u5176\u4ed6\u6570\u636e\u6e90\u4e2d\u63d0\u53d6\u6587\u672c\u4fe1\u606f\u3002\u5e38\u7528\u7684\u5de5\u5177\u6709BeautifulSoup\u548cScrapy\u3002<\/p>\n<\/p>\n BeautifulSoup\u7528\u4e8e\u89e3\u6790HTML\u548cXML\u6587\u6863\uff0c\u5e76\u63d0\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n import requests<\/p>\n url = "http:\/\/example.com"<\/p>\n response = requests.get(url)<\/p>\n soup = BeautifulSoup(response.text, 'html.parser')<\/p>\n paragraphs = soup.find_all('p')<\/p>\n for para in paragraphs:<\/p>\n print(para.get_text())<\/p>\n <\/code><\/pre>\n<\/p>\n Scrapy\u662f\u4e00\u4e2a\u7528\u4e8e\u6293\u53d6\u7f51\u9875\u6570\u636e\u7684\u5f00\u6e90\u6846\u67b6\uff0c\u9002\u5408\u5927\u89c4\u6a21\u6570\u636e\u63d0\u53d6\u3002<\/p>\n<\/p>\n class MySpider(scrapy.Spider):<\/p>\n name = 'my_spider'<\/p>\n start_urls = ['http:\/\/example.com']<\/p>\n def parse(self, response):<\/p>\n for text in response.css('p::text').getall():<\/p>\n yield {'text': text}<\/p>\n <\/code><\/pre>\n<\/p>\n Python\u7684\u5185\u7f6e\u5b57\u7b26\u4e32\u65b9\u6cd5\u53ef\u4ee5\u7528\u4e8e\u6267\u884c\u7b80\u5355\u7684\u6587\u672c\u64cd\u4f5c\uff0c\u5982\u5206\u5272\u3001\u66ff\u6362\u548c\u67e5\u627e\u3002<\/p>\n<\/p>\n \u5b57\u7b26\u4e32\u65b9\u6cd5\u53ef\u4ee5\u65b9\u4fbf\u5730\u5904\u7406\u7b80\u5355\u7684\u6587\u672c\u64cd\u4f5c\u3002<\/p>\n<\/p>\n words = text.split()<\/p>\n print(words) # \u8f93\u51fa\uff1a['Python', 'is', 'great,', 'and', 'Python', 'is', 'versatile.']<\/p>\n new_text = text.replace("Python", "Java")<\/p>\n print(new_text) # \u8f93\u51fa\uff1aJava is great, and Java is versatile.<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5355\u4e00\u65b9\u6cd5\u53ef\u80fd\u65e0\u6cd5\u6ee1\u8db3\u590d\u6742\u7684\u6587\u672c\u63d0\u53d6\u9700\u6c42\u3002\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5b9e\u73b0\u66f4\u5f3a\u5927\u7684\u6587\u672c\u5904\u7406\u529f\u80fd\u3002<\/p>\n<\/p>\n \u5728\u5904\u7406\u590d\u6742\u7684\u6587\u672c\u65f6\uff0c\u53ef\u4ee5\u7ed3\u5408\u6b63\u5219\u8868\u8fbe\u5f0f\u548cNLP\u6280\u672f\u3002\u4f8b\u5982\uff0c\u63d0\u53d6\u5305\u542b\u7279\u5b9a\u5b9e\u4f53\u7684\u53e5\u5b50\uff1a<\/p>\n<\/p>\n import spacy<\/p>\n nlp = spacy.load("en_core_web_sm")<\/p>\n text = "Google was founded by Larry Page and Sergey Brin."<\/p>\n sentences = re.findall(r'[^.]*Google[^.]*\\.', text)<\/p>\n for sentence in sentences:<\/p>\n doc = nlp(sentence)<\/p>\n for ent in doc.ents:<\/p>\n if ent.label_ == 'PERSON':<\/p>\n print(ent.text) # \u8f93\u51fa\uff1aLarry Page, Sergey Brin<\/p>\n <\/code><\/pre>\n<\/p>\n \u6587\u672c\u63d0\u53d6\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u6709\u5e7f\u6cdb\u7684\u7528\u9014\uff0c\u5982\u4fe1\u606f\u68c0\u7d22\u3001\u81ea\u52a8\u6458\u8981\u751f\u6210\u548c\u60c5\u611f\u5206\u6790\u7b49\u3002<\/p>\n<\/p>\n \u4fe1\u606f\u68c0\u7d22\u7cfb\u7edf\u53ef\u4ee5\u4ece\u5927\u91cf\u6587\u672c\u4e2d\u63d0\u53d6\u6709\u7528\u7684\u4fe1\u606f\uff0c\u4ee5\u652f\u6301\u51b3\u7b56\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n sentences = text.split('.')<\/p>\n for sentence in sentences:<\/p>\n if keyword.lower() in sentence.lower():<\/p>\n print(sentence.strip())<\/p>\n article = "Python is great for data science. Python is also used for web development."<\/p>\n search_keyword(article, "data science") # \u8f93\u51fa\uff1aPython is great for data science.<\/p>\n <\/code><\/pre>\n<\/p>\n \u81ea\u52a8\u6458\u8981\u751f\u6210\u53ef\u4ee5\u4ece\u957f\u6587\u6863\u4e2d\u63d0\u53d6\u5173\u952e\u4fe1\u606f\uff0c\u4e3a\u8bfb\u8005\u63d0\u4f9b\u5feb\u901f\u6982\u89c8\u3002<\/p>\n<\/p>\n text = """Python is an interpreted high-level general-purpose programming language. <\/p>\n Its design philosophy emphasizes code readability with the use of significant indentation. <\/p>\n\u4e00\u3001\u6b63\u5219\u8868\u8fbe\u5f0f\u63d0\u53d6\u6587\u672c<\/h3>\n<\/p>\n
re<\/code>\u5e93\u63d0\u4f9b\u4e86\u6b63\u5219\u8868\u8fbe\u5f0f\u7684\u652f\u6301\u3002<\/p>\n<\/p>\n1.1 \u6b63\u5219\u8868\u8fbe\u5f0f\u57fa\u7840<\/h4>\n<\/p>\n
\n
.<\/code>\uff1a\u5339\u914d\u4efb\u610f\u5355\u4e2a\u5b57\u7b26\u3002<\/li>\n*<\/code>\uff1a\u5339\u914d\u524d\u4e00\u4e2a\u5b57\u7b260\u6b21\u6216\u591a\u6b21\u3002<\/li>\n+<\/code>\uff1a\u5339\u914d\u524d\u4e00\u4e2a\u5b57\u7b261\u6b21\u6216\u591a\u6b21\u3002<\/li>\n?<\/code>\uff1a\u5339\u914d\u524d\u4e00\u4e2a\u5b57\u7b260\u6b21\u62161\u6b21\u3002<\/li>\n[]<\/code>\uff1a\u5339\u914d\u62ec\u53f7\u5185\u7684\u4efb\u610f\u5b57\u7b26\u3002<\/li>\n^<\/code>\uff1a\u5339\u914d\u5b57\u7b26\u4e32\u7684\u5f00\u5934\u3002<\/li>\n$<\/code>\uff1a\u5339\u914d\u5b57\u7b26\u4e32\u7684\u7ed3\u5c3e\u3002<\/li>\n<\/ul>\n1.2 \u4f7f\u7528re\u5e93\u8fdb\u884c\u6587\u672c\u63d0\u53d6<\/h4>\n<\/p>\n
re<\/code>\u5e93\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u6587\u672c\u7684\u5339\u914d\u548c\u63d0\u53d6\u3002\u4f8b\u5982\uff0c\u4ece\u4e00\u4e2a\u53e5\u5b50\u4e2d\u63d0\u53d6\u6240\u6709\u7684\u6570\u5b57\uff1a<\/p>\n<\/p>\nimport re<\/p>\n\u4e8c\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93<\/h3>\n<\/p>\n
2.1 \u4f7f\u7528NLTK\u8fdb\u884c\u6587\u672c\u5206\u6790<\/h4>\n<\/p>\n
import nltk<\/p>\n2.2 \u4f7f\u7528spaCy\u8fdb\u884c\u6587\u672c\u5206\u6790<\/h4>\n<\/p>\n
import spacy<\/p>\n\u4e09\u3001\u6587\u672c\u6316\u6398\u5de5\u5177<\/h3>\n<\/p>\n
3.1 \u4f7f\u7528BeautifulSoup\u63d0\u53d6\u7f51\u9875\u6587\u672c<\/h4>\n<\/p>\n
from bs4 import BeautifulSoup<\/p>\n\u63d0\u53d6\u6240\u6709\u6bb5\u843d\u7684\u6587\u672c<\/strong><\/h2>\n
3.2 \u4f7f\u7528Scrapy\u8fdb\u884c\u6570\u636e\u722c\u53d6<\/h4>\n<\/p>\n
import scrapy<\/p>\n\u56db\u3001\u5b57\u7b26\u4e32\u65b9\u6cd5\u8fdb\u884c\u7b80\u5355\u6587\u672c\u5904\u7406<\/h3>\n<\/p>\n
4.1 \u4f7f\u7528\u5b57\u7b26\u4e32\u65b9\u6cd5\u5206\u5272\u548c\u66ff\u6362\u6587\u672c<\/h4>\n<\/p>\n
text = "Python is great, and Python is versatile."<\/p>\n\u5206\u5272\u5b57\u7b26\u4e32<\/strong><\/h2>\n
\u66ff\u6362\u6587\u672c<\/strong><\/h2>\n
\u4e94\u3001\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\u8fdb\u884c\u590d\u6742\u6587\u672c\u63d0\u53d6<\/h3>\n<\/p>\n
5.1 \u7efc\u5408\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u548cNLP<\/h4>\n<\/p>\n
import re<\/p>\n\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u5339\u914d\u53e5\u5b50<\/strong><\/h2>\n
\u516d\u3001\u6587\u672c\u63d0\u53d6\u5e94\u7528\u6848\u4f8b<\/h3>\n<\/p>\n
6.1 \u4fe1\u606f\u68c0\u7d22<\/h4>\n<\/p>\n
def search_keyword(text, keyword):<\/p>\n6.2 \u81ea\u52a8\u6458\u8981\u751f\u6210<\/h4>\n<\/p>\n
from gensim.summarization import summarize<\/p>\n