Lucene 中 Analyzer 语句分析

Lucene 中 Analyzer 语句分析,利用 lucene 中自带的词法分析工具 Analyzer，进行对句子的分析。

源码如下：

package com.test;

import java.io.IOException;
import java.io.StringReader;
import java.util.List;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.SimpleAnalyzer;
import org.apache.lucene.analysis.StopAnalyzer;
import org.apache.lucene.analysis.Token;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.WhitespaceAnalyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.analysis.tokenattributes.TermToBytesRefAttribute;
import org.apache.lucene.util.Version;

import com.bean.mashupDerscriptionTest;
import com.daoImpl.MashupDaoImpl;
import com.gargoylesoftware.htmlunit.javascript.host.Comment;

public class KeyWordsTest {

	/**
	 * @param args
	 */
	public static void main(String[] args) {
		MashupDaoImpl mashupDao = new MashupDaoImpl();
		List<mashupDerscriptionTest> list = mashupDao
				.findAllmashupDescripteonTest();
		int i = 1;
		String comment = null;
		for (mashupDerscriptionTest mashup : list) {
			// 描述为空去名字作为描述
			if (mashup.getComments().equals("")) {
				comment = mashup.getName();
			} else {
				comment = mashup.getComments();
			}
//            System.out.println(comment);
			//对读取的描述利用Lucene中的Analyzer进行句子分析产生
			//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  
			StringReader reader = new StringReader(comment);
			Analyzer analyzer = new StopAnalyzer();
			TokenStream tStream = analyzer.tokenStream("", reader);
			Token t;
			try {
				while ((t = tStream.next()) != null) {
					//对每个单词采用
					System.out.print(t.termText()+" ");
				}
				System.out.println((i++)+"条描述分词结束！");
			} catch (IOException e) {
				e.printStackTrace();
			}    
		}
	}
}
​

注:数据来源于数据库中......