lucene 分词器

 1 package cn.itcast.e_analyzer;
 2 
 3 import java.io.StringReader;
 4 
 5 import org.apache.lucene.analysis.Analyzer;
 6 import org.apache.lucene.analysis.TokenStream;
 7 import org.apache.lucene.analysis.cjk.CJKAnalyzer;
 8 import org.apache.lucene.analysis.cn.ChineseAnalyzer;
 9 import org.apache.lucene.analysis.standard.StandardAnalyzer;
10 import org.apache.lucene.analysis.tokenattributes.TermAttribute;
11 import org.apache.lucene.util.Version;
12 import org.junit.Test;
13 import org.wltea.analyzer.lucene.IKAnalyzer;
14 
15 public class TestAnalyzer {
16 
17     @Test
18     public void test() throws Exception {
19         String enText = "An IndexWriter creates and maintains an index.";
20         Analyzer analyzer = new StandardAnalyzer(Version.LUCENE_30);
21         testAnalyzer(analyzer, enText);
22         
23         String cnText = "传智播客准备Lucene的开发环境";
24         testAnalyzer(analyzer, cnText); // 单字分词
25         
26         testAnalyzer(new ChineseAnalyzer(), cnText); // 单字分词
27         testAnalyzer(new CJKAnalyzer(Version.LUCENE_30), cnText); // 二分法分词
28         testAnalyzer(new IKAnalyzer(), cnText); // 词库分词（重点）
29     }
30 
31     /**
32      * 使用指定的分词器对指定的文本进行分词，并打印出分出的词
33      * 
34      * @param analyzer
35      * @param text
36      * @throws Exception
37      */
38     private void testAnalyzer(Analyzer analyzer, String text) throws Exception {
39         System.out.println("当前使用的分词器：" + analyzer.getClass().getSimpleName());
40         TokenStream tokenStream = analyzer.tokenStream("content", new StringReader(text));
41         tokenStream.addAttribute(TermAttribute.class);
42         while (tokenStream.incrementToken()) {
43             TermAttribute termAttribute = tokenStream.getAttribute(TermAttribute.class);
44             //分词条件
45             System.out.println(termAttribute.term());
46         }
47         System.out.println();
48     }
49 
50 }