java 怎么用lucenes进行分词

import java.io.IOException;

import org.apache.lucene.analysis.Analyzer;

import org.apache.lucene.document.Document;

import org.apache.lucene.document.Field;

import org.apache.lucene.document.StringField;

import org.apache.lucene.document.TextField;

import org.apache.lucene.index.CorruptIndexException;

import org.apache.lucene.index.DirectoryReader;

import org.apache.lucene.index.IndexReader;

import org.apache.lucene.index.IndexWriter;

import org.apache.lucene.index.IndexWriterConfig;

import org.apache.lucene.index.IndexWriterConfig.OpenMode;

import org.apache.lucene.queryparser.classic.ParseException;

import org.apache.lucene.queryparser.classic.QueryParser;

import org.apache.lucene.search.IndexSearcher;

import org.apache.lucene.search.Query;

import org.apache.lucene.search.ScoreDoc;

import org.apache.lucene.search.TopDocs;

import org.apache.lucene.store.Directory;

import org.apache.lucene.store.LockObtainFailedException;

import org.apache.lucene.store.RAMDirectory;

import org.apache.lucene.util.Version;

import org.wltea.analyzer.lucene.IKAnalyzer;

/**

* 使用IKAnalyzer进行Lucene索引和查询的演示

* 2012-3-2

*

* 以下是结合Lucene4.0 API的写法

*

*/

public class LuceneIndexAndSearchDemo {

/**

* 模拟：

* 创建一个单条记录的索引，并对其进行搜索

* @param args

*/

public static void main(String[] args){

//Lucene Document的域名

String fieldName = "text";

//检索内容

String text = "IK Analyzer是一个结合词典分词和文法分词的中文分词开源工具包。它使用了全新的正向迭代最细粒度切分算法。";

//实例化IKAnalyzer分词器

Analyzer analyzer = new IKAnalyzer(true);

Directory directory = null;

IndexWriter iwriter = null;

IndexReader ireader = null;

IndexSearcher isearcher = null;

try {

//建立内存索引对象

directory = new RAMDirectory();

//配置IndexWriterConfig

IndexWriterConfig iwConfig = new IndexWriterConfig(Version.LUCENE_40 , analyzer);

iwConfig.setOpenMode(OpenMode.CREATE_OR_APPEND);

iwriter = new IndexWriter(directory , iwConfig);

//写入索引

Document doc = new Document();

doc.add(new StringField("ID", "10000", Field.Store.YES));

doc.add(new TextField(fieldName, text, Field.Store.YES));

iwriter.addDocument(doc);

iwriter.close();

//搜索过程**********************************

//实例化搜索器

ireader = DirectoryReader.open(directory);

isearcher = new IndexSearcher(ireader);

String keyword = "中文分词工具包";

//使用QueryParser查询分析器构造Query对象

QueryParser qp = new QueryParser(Version.LUCENE_40, fieldName, analyzer);

qp.setDefaultOperator(QueryParser.AND_OPERATOR);

Query query = qp.parse(keyword);

System.out.println("Query = " + query);

//搜索相似度最高的5条记录

TopDocs topDocs = isearcher.search(query , 5);

System.out.println("命中：" + topDocs.totalHits);

//输出结果

ScoreDoc[] scoreDocs = topDocs.scoreDocs;

for (int i = 0; i < topDocs.totalHits; i++){

Document targetDoc = isearcher.doc(scoreDocs[i].doc);

System.out.println("内容：" + targetDoc.toString());

}

} catch (CorruptIndexException e) {

e.printStackTrace();

} catch (LockObtainFailedException e) {

e.printStackTrace();

} catch (IOException e) {

e.printStackTrace();

} catch (ParseException e) {

e.printStackTrace();

} finally{

if(ireader != null){

try {

ireader.close();

} catch (IOException e) {

e.printStackTrace();

}

}

if(directory != null){

try {

directory.close();

} catch (IOException e) {

e.printStackTrace();

}

}

}

}

}