{"id":5587,"date":"2021-11-23T06:54:39","date_gmt":"2021-11-23T06:54:39","guid":{"rendered":"https:\/\/support.divominer.com\/zh-tw\/articles\/docs\/divominer-%e4%bd%bf%e7%94%a8%e6%89%8b%e5%86%8a\/%e6%bc%94%e7%ae%97%e6%b3%95%e6%8c%96%e6%8e%98\/%e6%83%85%e6%84%9f%e5%88%86%e6%9e%90%ef%bc%88%e6%ad%a3%e8%b2%a0%e9%9d%a2%ef%bc%89"},"modified":"2024-08-30T11:46:49","modified_gmt":"2024-08-30T03:46:49","slug":"%e6%83%85%e6%84%9f%e5%88%86%e6%9e%90%e6%ad%a3%e8%b2%a0%e9%9d%a2","status":"publish","type":"docs","link":"https:\/\/support.divominer.com\/zh-tw\/articles\/docs\/divominer-%e4%bd%bf%e7%94%a8%e6%89%8b%e5%86%8a\/%e6%bc%94%e7%ae%97%e6%b3%95%e6%8e%a2%e5%8b%98\/%e6%83%85%e6%84%9f%e5%88%86%e6%9e%90%e6%ad%a3%e8%b2%a0%e9%9d%a2","title":{"rendered":"\u60c5\u611f\u5206\u6790 (\u6b63\u8ca0\u9762)"},"content":{"rendered":"\n

\u6587\u672c\u7684\u60c5\u611f\u5206\u6790\uff08sentiment analysis\uff09\uff0c\u5206\u6790\u76ee\u7684\u5728\u65bc\u77ad\u89e3\u4f5c\u8005\u5728\u7279\u5b9a\u6587\u672c\u4e2d\u7684\u60c5\u611f\u614b\u5ea6\uff0c\u9019\u4e9b\u614b\u5ea6\u53cd\u6620\u4e86\u4f5c\u8005\u5728\u64b0\u5beb\u8a72\u6587\u672c\u6642\u7684\u500b\u4eba\u60c5\u611f\uff0c\u6216\u662f\u610f\u5716\u7d93\u7531\u8a72\u6587\u672c\u5411\u8b80\u8005\u6240\u50b3\u9054\u7684\u60c5\u611f\u3002\u81ea\u52d5\u5316\u7684\u6587\u672c\u60c5\u611f\u5206\u6790\uff0c\u662f\u6307\u7d50\u5408\u81ea\u7136\u8a9e\u8a00\u8655\u7406\uff08Natural Language Processing\uff09\u3001\u6587\u672c\u63a2\u52d8\uff08Text Mining)\uff0c\u4ee5\u53ca\u7a0b\u5f0f\u8a9e\u8a00\u7b49\u9818\u57df\u7684\u6280\u8853\u65b9\u6cd5\uff0c\u4f86\u63d0\u53d6\u6587\u672c\u4e2d\u7684\u4e3b\u89c0\u60c5\u611f\u8cc7\u8a0a\u3002\u5e73\u53f0\u6240\u63d0\u4f9b\u7684\u81ea\u52d5\u5316\u60c5\u611f\u5206\u6790\u6a21\u578b\u7531DiVoMiner\u00ae\u5718\u968a\u7368\u5bb6\u7814\u767c\uff0c\u53ef\u81ea\u52d5\u8fa8\u5225\u548c\u5206\u6790\u6587\u672c\u4e2d\u8868\u9054\u7684\u60c5\u611f\u6216\u614b\u5ea6\u50be\u5411\uff08\u6a19\u8a18\u70ba\u6b63\u9762\u3001\u8ca0\u9762\u6216\u4e2d\u7acb\uff09\uff0c\u8a72\u9805\u6280\u8853\u6b63\u5728\u7533\u8acb\u5c08\u5229\u3002<\/p>\n\n\n\n

\u57fa\u65bc\u5718\u968a\u5c0d\u6f14\u7b97\u6a21\u578b\u7684\u4e0d\u65b7\u5347\u7d1a\u548c\u8c50\u5bcc\u7684\u8a5e\u5f59\u5eab\u652f\u6301\uff0c\u7d93\u6e2c\u8a66\uff0c\u7279\u5b9a\u985e\u5225\u8a9e\u6599\u60c5\u611f\u5206\u6790Accuracy\uff08\u6e96\u78ba\u6027\u6216\u6e96\u78ba\u7387\uff09\u9054\u52300.7~0.9\uff08\u696d\u754c\u63a5\u53d7\u7bc4\u570d\u5167\uff09\u3002\u6e2c\u8a66\u7d50\u679c\u5982\u4e0b\uff0c\u5efa\u8b70\u4f7f\u7528\u8005\u6839\u64da\u5be6\u969b\u7814\u7a76\u60c5\u6cc1\u78ba\u5b9a\u6a21\u578b\u9069\u7528\u6027\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u63d0\u793a\uff1a\u4ee5\u4e0a\u6e2c\u8a66\u7d50\u679c\u5747\u57fa\u65bc\u5167\u90e8\u8cc7\u6599\u6e2c\u8a66\u96c6\uff0c\u800c\u201c\u6e96\u5ea6\u201d\u662f\u5efa\u7acb\u5728\u7279\u5b9a\u7684\u6e2c\u8a66\u96c6\u57fa\u790e\u4e0a\uff0c\u53ef\u901a\u904e\u901a\u7528\u8a55\u50f9\u6307\u6a19\uff08\u5982\uff1aAccuracy\u3001F1-score\u3001Precision\u3001Recall\uff09\u7d66\u51fa\u7684\u91cf\u5316\u503c\u9032\u884c\u5224\u65b7\u3002\u53d7\u6e2c\u8a66\u96c6\u7684\u9650\u5236\uff0c\u201c\u6e96\u5ea6\u201d\u7bc4\u570d\u6703\u7522\u751f\u6ce2\u52d5\uff0c\u76ee\u524d\u4e26\u7121\u56b4\u683c\u7684\u696d\u754c\u6a19\u6e96\u3002<\/p>\n\n\n\n

\u6307\u6a19\u8aaa\u660e\uff1a <\/p>\n\n\n\n

  1. Accuracy\uff08\u6e96\u78ba\u7387\uff09\uff1a\u9810\u6e2c\u6b63\u78ba\u7684\u6a23\u672c\u6578\u5360\u7e3d\u6a23\u672c\u6578\u7684\u6bd4\u4f8b\u3002\u30101\u3011<\/li>
  2. F1-score\uff08F1\u503c\uff09\uff1aPrecision\u548cRecall\u7684\u8abf\u548c\u5e73\u5747\u503c\u3002\u30101\u3011<\/li>
  3. Precision\uff08\u7cbe\u78ba\u7387\uff09\uff1a\u9810\u6e2c\u6b63\u78ba\u7684\u8cc7\u6599\u5360\u9810\u6e2c\u8cc7\u6599\u7684\u6bd4\u4f8b\u3002\u30101\u3011<\/li>
  4. Recall\uff08\u53ec\u56de\u7387\uff09\uff1a\u9810\u6e2c\u6b63\u78ba\u7684\u8cc7\u6599\u5360\u5be6\u969b\u8cc7\u6599\u3002\u30102\u3011<\/li><\/ol>\n\n\n\n

    \u53c3\u8003\u6587\u737b\uff1a <\/p>\n\n\n\n

    \u30101\u3011Powers, David M W (2011). \u201cEvaluation: From Precision, Recall and F-easure to ROC, Informedness, Markedness & Correlation\u201d (PDF). Journal of Machine Learning Technologies. 2 (1): 37\u201363. <\/p>\n","protected":false},"featured_media":0,"parent":5584,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","doc_tag":[],"_links":{"self":[{"href":"https:\/\/support.divominer.com\/zh-tw\/wp-json\/wp\/v2\/docs\/5587"}],"collection":[{"href":"https:\/\/support.divominer.com\/zh-tw\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/support.divominer.com\/zh-tw\/wp-json\/wp\/v2\/types\/docs"}],"replies":[{"embeddable":true,"href":"https:\/\/support.divominer.com\/zh-tw\/wp-json\/wp\/v2\/comments?post=5587"}],"version-history":[{"count":6,"href":"https:\/\/support.divominer.com\/zh-tw\/wp-json\/wp\/v2\/docs\/5587\/revisions"}],"predecessor-version":[{"id":6354,"href":"https:\/\/support.divominer.com\/zh-tw\/wp-json\/wp\/v2\/docs\/5587\/revisions\/6354"}],"up":[{"embeddable":true,"href":"https:\/\/support.divominer.com\/zh-tw\/wp-json\/wp\/v2\/docs\/5584"}],"next":[{"title":"\u65b0\u5efa\u60c5\u611f\u5206\u6790\uff08\u6b63\u8ca0\u9762\uff09\u4efb\u52d9","link":"https:\/\/support.divominer.com\/zh-tw\/articles\/docs\/divominer-%e4%bd%bf%e7%94%a8%e6%89%8b%e5%86%8a\/%e6%bc%94%e7%ae%97%e6%b3%95%e6%8e%a2%e5%8b%98\/%e6%96%b0%e5%bb%ba%e6%83%85%e6%84%9f%e5%88%86%e6%9e%90%ef%bc%88%e6%ad%a3%e8%b2%a0%e9%9d%a2%ef%bc%89%e4%bb%bb%e5%8b%99","href":"https:\/\/support.divominer.com\/zh-tw\/wp-json\/wp\/v2\/docs\/5621"}],"wp:attachment":[{"href":"https:\/\/support.divominer.com\/zh-tw\/wp-json\/wp\/v2\/media?parent=5587"}],"wp:term":[{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/support.divominer.com\/zh-tw\/wp-json\/wp\/v2\/doc_tag?post=5587"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}