org.wltea.analyzer.sample.IKAnalzyerDemo Maven / Gradle / Ivy
/*
* IK 中文分词 版本 7.7.1
* IK Analyzer release 7.7.1
*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* 源代码由林良益([email protected])提供
* 版权声明 2012，乌龙茶工作室
* provided by Linliangyi and copyright 2012 by Oolong studio
*
* 7.7.1版本 由 Magese ([email protected]) 更新
* release 7.7.1 update by Magese([email protected])
*
*/
package org.wltea.analyzer.sample;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
import org.apache.lucene.analysis.tokenattributes.TypeAttribute;
import org.wltea.analyzer.lucene.IKAnalyzer;
import java.io.IOException;
import java.io.StringReader;
/**
* 使用IKAnalyzer进行分词的演示
* 2012-10-22
*/
public class IKAnalzyerDemo {
public static void main(String[] args) {
//构建IK分词器，使用smart分词模式
Analyzer analyzer = new IKAnalyzer(true);
//获取Lucene的TokenStream对象
TokenStream ts = null;
try {
ts = analyzer.tokenStream("myfield", new StringReader("这是一个中文分词的例子，你可以直接运行它！IKAnalyer can analysis english text too"));
//获取词元位置属性
OffsetAttribute offset = ts.addAttribute(OffsetAttribute.class);
//获取词元文本属性
CharTermAttribute term = ts.addAttribute(CharTermAttribute.class);
//获取词元文本属性
TypeAttribute type = ts.addAttribute(TypeAttribute.class);
//重置TokenStream（重置StringReader）
ts.reset();
//迭代获取分词结果
while (ts.incrementToken()) {
System.out.println(offset.startOffset() + " - " + offset.endOffset() + " : " + term.toString() + " | " + type.type());
}
//关闭TokenStream（关闭StringReader）
ts.end(); // Perform end-of-stream operations, e.g. set the final offset.
} catch (IOException e) {
e.printStackTrace();
} finally {
//释放TokenStream的所有资源
if (ts != null) {
try {
ts.close();
} catch (IOException e) {
e.printStackTrace();
}
}
}
}
}