import org.apache.lucene.analysis.cn.*这个包在哪下，怎么导入

Question

import org.apache.lucene.analysis.Token;   
import org.apache.lucene.analysis.cn.*;  导入lucene.jar包后上一句通过了，这一句还是不行，怎么回事，求解

Answer 1

在这个包里lucene-analyzers-common-4.3.0.jar

Answer 2

有下载地址么，我下的是lucene-core-3.0.2.jar

Answer 3

改用lucene-core-3.6.2.jar吧，3.0.2我也找不到了。http://lucene.apache.org/

Answer 4

那你能帮忙看下下面这段代码，我导了好几个包都不行/* Description：贝叶斯算法判断垃圾邮件
 * * author:Tony
 * * date: 2007/10/23
 */import org.apache.lucene.analysis.Token;
import org.apache.lucene.analysis.cn.*;import java.util.*;
import java.io.*;public class Bayes 
{
     private Hashtable badHash;
     private Hashtable goodHash;
     private Hashtable probabilityHash;
     //初始化     public void init()throws Exception
     {
         badHash = new Hashtable();
         goodHash = new Hashtable();
         buildEmailHash("D:\\JavaWorkSpace\\Bayes\\src\\data\\badEmail",badHash);
         buildEmailHash("D:\\JavaWorkSpace\\Bayes\\src\\data\\goodEmail",goodHash);
         buildNewHashTable();
        
     }
     //创建垃圾邮件哈希表     public void buildEmailHash(String path, Hashtable table) throws Exception
     {
         String badInput = readFile(path);
     ChineseTokenizer tokenizer = new ChineseTokenizer(
              new StringReader(badInput));
     Token token;
     Hashtable tempHash = new Hashtable();
     double rate = 0.0;
     int total = 0;
         while ((token = tokenizer.next()) != null)
         {
             total++;
             String temp = token.termText();
             if(table.containsKey(temp))
             {
                 int counter = (Integer)tempHash.get(temp);
                 counter++;
                 tempHash.remove(temp);
                 tempHash.put(temp, counter);
             }
             else
             {
                 tempHash.put(temp, 1);
             }
         }
         //将垃圾邮件中字符及其概率放入badhash中         for(Iterator it = tempHash.keySet().iterator(); it.hasNext();) 
         { 
             String key = (String)it.next();
             rate = (Integer)tempHash.get(key)/total; 
             table.put(key, rate); 
         }
     }
     /*创建新的probability Hash表，其中的概率表示
     在邮件中出现 TOKEN 串 ti 时，该邮件为垃圾邮件的概率
     */
     public void buildNewHashTable()
     {
        for(Iterator it = badHash.keySet().iterator(); it.hasNext();) 
         { 
             String key = (String)it.next();
             // P （ A|ti ） =P2 （ ti ） /[ （ P1 （ ti ） +P2 （ ti ） ]              double badRate = (Double)badHash.get(key);
             double allRate = badRate;
             if(goodHash.containsKey(key))
             {
                 allRate += (Double)goodHash.get(key); 
             }
             probabilityHash.put(key, (badRate/allRate));
         }
     }     //读文件     public String readFile(String path)throws Exception
     {
         BufferedReader br = new BufferedReader(
                 new FileReader(path));
         String str = "";
         while(true)
         {
             if(br.readLine() == null) break;
             str += br.readLine();
         }
         br.close();
         return str;
     }
     //判断是否为垃圾邮件 返回true表示非垃圾邮件 返回false表示是垃圾邮件     public boolean judgeEmail(String email, double weight) throws Exception
     {
         //P(A|t1 ,t2, t3……tn)=（P1*P2*……PN）/[P1*P2*……PN+（1-P1）*（1-P2）*……（1-PN）]          ChineseTokenizer tokenizer = new ChineseTokenizer(
                 new StringReader(email));
     Token token;
     boolean flag = true;
     double rate = 1.0;
     double tempRate = 1.0;
     double finalRate = 0.0;
         while ((token = tokenizer.next()) != null)
         {
             String key = token.termText();
             if(!probabilityHash.containsKey(key))
             {
                 break;
             }
             else
             {
                 double temp = (Double)probabilityHash.get(key);
                 tempRate *= 1 - temp;
                 rate *= temp;
             }
         }
         finalRate = rate/(rate + tempRate);
         if(finalRate > weight) flag = false;
         return flag;
     }
     public static void main(String args[]) throws Exception
     {
         Bayes bayes = new Bayes();
         bayes.init();
         String email ="";
         double weight = 0.5;
         if(bayes.judgeEmail(email, weight))
         {
             System.out.println("It is OK!");
         }
         else
         {
             System.out.println("It is wrong!");
         }
     }}