wordart<\/a> \u83b7\u53d6\u82f1\u6587\u5355\u8bcd\u7684\u8bcd\u9891\uff0c\u4f7f\u7528\u5de5\u5177\u7684\u597d\u5904\u662f\u5b83\u6709\u4e00\u4e2a\u4e13\u4e1a\u7684\u8fc7\u6ee4\u8bcd\u5e93\uff0c\u53ef\u4ee5\u8fc7\u6ee4\u6389\u7edd\u5927\u591a\u6570\u65e0\u610f\u4e49\u7684\u8bcd\uff0c\u4f46\u574f\u5904\u662f\u53ea\u80fd\u83b7\u53d6\u524d1000\u4e2a\u5355\u8bcd\u7684\u8bcd\u9891\uff0c\u5982\u679c\u6570\u636e\u91cf\u7279\u522b\u5927\uff0c\u90a3\u4e48\u4f7f\u7528\u5de5\u5177\u5c31\u4e0d\u592a\u5408\u9002\u4e86\u3002<\/p>\n\n\n\n\u56e0\u6b64\u6574\u5408\u7f51\u4e0a\u7684\u4ee3\u7801\uff0c\u6211\u505a\u7684\u5de5\u5177\u5982\u4e0b\uff1a<\/p>\n\n\n\n
#\u5f15\u5165pandas\u5e93\r\nimport pandas as pd\r\n\r\n#\u8bfb\u53d6\u8fc7\u6ee4\u8bcd\u5e93\r\nwith open('excludes.txt','r',encoding='utf-8') as file:\r\n\texcludes_list = file.read().split('\\n')\r\n\r\n#\u6e05\u6d17\u82f1\u6587\u6587\u672c\r\ndef getText():\r\n txt = open("music.txt",encoding='utf-8').read()\r\n txt = txt.lower()\r\n for i in '!"\u201c\u201d#$%&()*+,-.\/:;<=>?@[\\]^_\u2018{|}~':\r\n txt = txt.replace(i, " ")\r\n return txt\r\n\r\n#\u7edf\u8ba1\u8bcd\u9891\r\nEngTxt = getText()\r\nwords = EngTxt.split()\r\ncounts = {}\r\nfor word in words:\r\n\tif word in excludes_list:\r\n\t\tcontinue\r\n\telse:\r\n\t\tcounts[word] = counts.get(word, 0) + 1\r\nitems = list(counts.items())\r\nitems.sort(key=lambda x: x[1], reverse=True)\r\nfor i in range(150):\r\n word, count = items[i]\r\n print("{0:<10}{1:>5}".format(word, count))\r\n\r\n#\u5b58\u50a8\u5230csv\u6587\u4ef6\r\npd.DataFrame(items).to_csv("test.csv")<\/code><\/pre>\n\n\n\n\u53ef\u4ee5\u6839\u636e\u81ea\u8eab\u9700\u8981\u6269\u5145\u8fc7\u6ee4\u8bcd\u5e93\uff0c\u5f97\u5230\u66f4\u7cbe\u51c6\u7684\u7ed3\u679c\u3002<\/p>\n\n\n\n
\u82f1\u6587\u5355\u8bcd\u7684\u8bcd\u6027\u5206\u6790<\/h2>\n\n\n\n
\u4f5c\u4e3aPython\u521d\u5b66\u8005\uff0c\u6700\u597d\u7684\u8001\u5e08\u5c31\u662f\u767e\u5ea6\u6216\u8c37\u6b4c\uff0c\u641c\u7d22\u5f97\u77e5\u5206\u6790\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e00\u822c\u90fd\u4f7f\u7528nltk\u5e93\uff0c\u800c\u8bcd\u6027\u7684\u5206\u6790\u53ef\u4ee5\u901a\u8fc7pos_tags\u83b7\u53d6\u3002\u6700\u7ec8\u6211\u7684\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n\n\n\n
#\u5f15\u5165nltk\u5e93\nimport nltk,csv\nimport pandas as pd\n\n#\u6253\u5f00\u5173\u952e\u8bcd\u5217\u8868\nwith open('keyword.txt','r',encoding='utf-8') as file:\n list = file.read().split('\\n')\n\n#\u5c06\u5173\u952e\u8bcd\u5217\u8868\u8f6c\u5316\u4e3a\u5b57\u7b26\u4e32\nlist1=''\nfor i in list:\n list1=list1+str(i)\n list1+=' '\n\n#\u5c06\u5173\u952e\u8bcd\u8f6c\u4e3a\u5c0f\u5199\nlist1 = list1.lower()\n\n#\u8bcd\u6027\u533a\u5206\ntokens = nltk.word_tokenize(list1)\npos_tags = nltk.pos_tag(tokens)\n# print(pos_tags)\n\n#\u5b58\u50a8\u5230csv\u6587\u4ef6\uff08\u5143\u7ec4\uff09\npd.DataFrame(pos_tags).to_csv("test.csv")<\/code><\/pre>\n\n\n\n\u8fd9\u91cc\u9047\u5230\u4e86\u51e0\u4e2a\u95ee\u9898\uff0c\u82b1\u8d39\u4e86\u4e0d\u5c11\u65f6\u95f4\u89e3\u51b3\u3002<\/p>\n\n\n\n
1\u3001nltk\u5e93\u7684\u5f15\u5165<\/strong><\/p>\n\n\n\n\u9996\u5148\u662fnltk\u5e93\u7684\u5f15\u5165\uff0c\u5e76\u4e0d\u662f\u5728cmd\u8f93\u5165pip install nltk\u5c31\u80fd\u89e3\u51b3\uff0c\u60f3\u8981\u5b8c\u6574\u5730\u5b89\u88c5nltk\uff0c\u9700\u8981\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\uff1a<\/p>\n\n\n\n
import nltk\nnltk.download()<\/code><\/pre>\n\n\n\n\u53ef\u4ee5\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\u6253\u5f00python\u8fdb\u884c\u4e0b\u8f7d\u5b89\u88c5\uff0c\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u4e0b\u8f7d\u9700\u8981\u6253\u5f00\u79d1\u5b66\u4e0a\u7f51\uff0c\u5e76\u4e14\u5b89\u88c5\u5728C\u76d8\uff0c\u4e0d\u7136\u4f60\u53ef\u80fd\u5b89\u88c5\u4e86\u4e00\u665a\u4e0a\u90fd\u4e0d\u6210\u529f\u3002<\/p>\n\n\n\n