lucene分词分析器Analyzer

SimpleAnalyzer
StandardAnalyzer
WhitespaceAnalyzer
StopAnalyzer

测试代码：

import java.io.Reader;
import java.io.StringReader;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.SimpleAnalyzer;
import org.apache.lucene.analysis.StopAnalyzer;
import org.apache.lucene.analysis.StopFilter;
import org.apache.lucene.analysis.Token;
import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.WhitespaceAnalyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;

public class TestAnalyzer {
    private static String testString1 = "The quick brown fox jumped over the lazy dogs";
    private static String testString2 = "xy&z mail is - [e-mail]";
    public static void testWhitespace(String testString) throws Exception{
        Analyzer analyzer = new WhitespaceAnalyzer();     
        Reader r = new StringReader(testString);     
        Tokenizer ts = (Tokenizer) analyzer.tokenStream("", r);     
        System.err.println("=====Whitespace analyzer====");
        System.err.println("分析方法：空格分割");
        Token t;     
        while ((t = ts.next()) != null) {     
           System.out.println(t.termText());     
        }    
    }
    public static void testSimple(String testString) throws Exception{
        Analyzer analyzer = new SimpleAnalyzer();     
        Reader r = new StringReader(testString);     
        Tokenizer ts = (Tokenizer) analyzer.tokenStream("", r);     
        System.err.println("=====Simple analyzer====");
        System.err.println("分析方法：空格及各种符号分割");
        Token t;     
        while ((t = ts.next()) != null) {     
           System.out.println(t.termText());     
        }    
    }
    public static void testStop(String testString) throws Exception{
        Analyzer analyzer = new StopAnalyzer();     
        Reader r = new StringReader(testString);     
        StopFilter sf = (StopFilter) analyzer.tokenStream("", r);
        System.err.println("=====stop analyzer===="); 
        System.err.println("分析方法：空格及各种符号分割,去掉停止词，停止词包括 is,are,in,on,the等无实际意义的词");
        //停止词
        Token t;     
        while ((t = sf.next()) != null) {     
           System.out.println(t.termText());     
        }    
    }
    public static void testStandard(String testString) throws Exception{
        Analyzer analyzer = new StandardAnalyzer();     
        Reader r = new StringReader(testString);     
        StopFilter sf = (StopFilter) analyzer.tokenStream("", r);
        System.err.println("=====standard analyzer====");
        System.err.println("分析方法：混合分割,包括了去掉停止词，支持汉语");
        Token t;     
        while ((t = sf.next()) != null) {     
            System.out.println(t.termText());     
        }    
    }
    public static void main(String[] args) throws Exception{
//        String testString = testString1;
        String testString = testString2;
        System.out.println(testString);
        testWhitespace(testString);
        testSimple(testString);
        testStop(testString);
        testStandard(testString);
    }

}

运行结果：

xy&z mail is - [e-mail]
=====Whitespace analyzer====
分析方法：空格分割
xy&z
mail
is
-
[e-mail]
=====Simple analyzer====
分析方法：空格及各种符号分割
xy
z
mail
is
xyz
sohu
com
=====stop analyzer====
分析方法：空格及各种符号分割,去掉停止词，停止词包括 is,are,in,on,the等无实际意义
的词
xy
z
mail
xyz
sohu
com
=====standard analyzer====
分析方法：混合分割,包括了去掉停止词，支持汉语
xy&z
mail
[e-mail]

 

评论

2 楼 wq163 2008-01-07  

那就手动找一下嘛

1 楼 phoenix2008 2007-12-13  

在netbeans里面导入jar包后，
import org.apache.lucene.analysis
提示找不到包？