删除comment18.md

comment18.md

-```待评审函数开始protected void keyPraseRun(String method) throws IOException
-    {
-        String text = getString("");
-        int number = getInt("number", 10),
-                maxCombineLength = getInt("maxCombineLength", 4),
-                autoMinLength = getInt("autoMinLength", 4);
-        if ( text == null || "".equals(text) ) {
-            response(STATUS, "Invalid Arguments");
-            return;
-        }
-        if ( text == null || "".equals(text) ) {
-            response(STATUS, "Invalid Arguments");
-            return;
-        }
-
-
-        final JcsegGlobalResource resourcePool = (JcsegGlobalResource)globalResource;
-        final JcsegTokenizerEntry tokenizerEntry = resourcePool.getTokenizerEntry("extractor");
-        if ( tokenizerEntry == null ) {
-            response(STATUS_INVALID_ARGS, "can't find tokenizer instance \"extractor\"");
-            return;
-        }
-
-        final ISegment seg = ISegment.COMPLEX.factory.create(tokenizerEntry.getConfig(), tokenizerEntry.getDict());
-        final TextRankKeyphraseExtractor extractor = new TextRankKeyphraseExtractor(seg);
-        extractor.setKeywordsNum(number);
-        extractor.setMaxWordsNum(maxCombineLength);
-        extractor.setAutoMinLength();
-
-        long s_time = System.nanoTime();
-        final List<String> keyphrase = extractor.getKeyphraseFromString(text);
-        double c_time = (System.nanoTime() - s_time)/1E9;
-
-        final Map<String, Object> map = new HashMap<>();
-        DecimalFormat df = new DecimalFormat("0.00000");
-        map.put("took", Float.valueOf(df.format(c_time)));
-
-        //response the request
-        response(0, map);
-    }```待评审函数结束这个函数看起来是一个使用TextRank算法生成关键词的Java函数。它接受四个参数：文本字符串、关键词数量、最大关键词组合长度和自动最小长度。然后，它创建一个TextRankKeyphraseExtractor对象，并设置关键词数量、最大关键词组合长度和自动最小长度。然后，它使用这个对象从文本字符串中提取关键词，并计算生成关键词所需的时间。最后，它将生成的关键词和所需时间作为JSON对象返回。
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