标签：print token apache AC lex nload test detail div
IK Analyzer是基于lucene实现的分词开源框架，下载路径:http://code.google.com/p/ik-analyzer/downloads/list
需要在项目中引入：
IKAnalyzer.cfg.xml
IKAnalyzer2012.jar
lucene-core-3.6.0.jar
stopword.dic
什么都不用改
示例代码如下(使用IK Analyzer):
package com.haha.test;
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.tokenattributes.CharTermAttribute;
import org.wltea.analyzer.lucene.IKAnalyzer;
public class Test2 {
public static void main(String[] args) throws IOException {
String text="基于java语言开发的轻量级的中文分词工具包";
//创建分词对象
Analyzer anal=new IKAnalyzer(true);
StringReader reader=new StringReader(text);
//分词
TokenStream ts=anal.tokenStream("", reader);
CharTermAttribute term=ts.getAttribute(CharTermAttribute.class);
//遍历分词数据
while(ts.incrementToken()){
System.out.print(term.toString()+"|");
}
reader.close();
System.out.println();
}
}
使用(lucene)实现:
package com.haha.test;
import java.io.IOException;
import java.io.StringReader;
import org.wltea.analyzer.core.IKSegmenter;
import org.wltea.analyzer.core.Lexeme;
public class Test3 {
public static void main(String[] args) throws IOException {
String text="基于java语言开发的轻量级的中文分词工具包";
StringReader sr=new StringReader(text);
IKSegmenter ik=new IKSegmenter(sr, true);
Lexeme lex=null;
while((lex=ik.next())!=null){
System.out.print(lex.getLexemeText()+"|");
}
}
}
参考文档 ： https://blog.csdn.net/lijun7788/article/details/7719166
标签：print token apache AC lex nload test detail div
原文地址：https://www.cnblogs.com/dbqjava/p/9076779.html
