AnalyzerTool分词工具.非常实用!

可以查看某串字符最终被分割成什么样子,这样便于查询时深刻明白为什么有的查不到有的却能查到.

package test.main;

import java.io.IOException;
import java.io.StringReader; import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.core.SimpleAnalyzer;
import org.apache.lucene.analysis.core.StopAnalyzer;
import org.apache.lucene.analysis.core.WhitespaceAnalyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.util.Version; /**
* 展示分词后的效果
*/
public class AnalyzerTool { /**
* 打印分词后的信息
*
* @param str
* 待分词的字符串
* @param analyzer
* 分词器
*/
public static void displayToken(String str, Analyzer analyzer) {
TokenStream stream = null;
try {
// 将一个字符串创建成Token流
stream = analyzer.tokenStream("content", new StringReader(str));
CharTermAttribute cta = stream.addAttribute(CharTermAttribute.class);
stream.reset();// 一定要重置,不然老报错
while (stream.incrementToken()) {
System.out.print("【" + cta + "】");
}
System.out.println();
} catch (IOException e) {
e.printStackTrace();
} finally {
try {
if (stream != null) {
stream.end();
stream.close();
}
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
} public static void main(String[] args) {
Analyzer aly1 = new StandardAnalyzer(Version.LUCENE_40);
Analyzer aly2 = new StopAnalyzer(Version.LUCENE_40);
Analyzer aly3 = new SimpleAnalyzer(Version.LUCENE_40);
Analyzer aly4 = new WhitespaceAnalyzer(Version.LUCENE_40); String str = "-LT1TT132#########LJRT1326#########LJRT1226#########)";
// LT1TT132#########LJRT1326#########LJRT1226#########
// LA939VRG###AJA###LA939VRG###WSJ###
// LA99HRD3###SYC###
// LZ1B22EE#########
AnalyzerTool.displayToken(str, aly1);
AnalyzerTool.displayToken(str, aly2);
AnalyzerTool.displayToken(str, aly3);
AnalyzerTool.displayToken(str, aly4);
}
}

  

05-01 02:41