庖丁解牛分词工具使用教程
今天想测试一下“庖丁”分词的效果，编写了一个测试小程序，从文件中读入文本，并将分词结果显示到控制台。
环境平台：Win7+eclipse
过程如下：
1.编辑paoding-analysis.jar中的paoding-dic-home.properties文件，去掉“#paoding.dic.home=dic”前面的#号，并将等号后面的dic改为dic文件夹在你本地存放的具体路劲，如：F://workspace//data//dic
(注：编辑paoding-analysis.jar中的文件，可先用WinRAR将paoding-analysis.jar打开，再用记事本或写字板直接编辑paoding-dic-home.properties文件后保存即可)
2. 将paoding-analysis.jar、commons-logging.jar、lucene-analyzers-2.2.0.jar和lucene-core-2.2.0.jar四个包导入工程：
①在工程下新建lib文件夹，将这四个包复制进来；
②右键单击工程->Properties->Java Build Path，在右侧选中第三个标签Libraries，点击Add JARs…，导入上述四个包；
③再选择第四个标签Order and Export，勾选上这四个包，点击OK按钮。
3. 创建一个主类，编写测试小程序，如下：
import java.io.*;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.Token;
import org.apache.lucene.analysis.TokenStream;
import net.paoding.analysis.analyzer.PaodingAnalyzer;
public class FenciTest {
public static void main(String[] args)
{
Analyzer analyzer = new PaodingAnalyzer();
String docText = null;
File file = new File("F://Work//workSpace//FenciTest//data//test1.txt");
docText = readText(file);
TokenStream tokenStream = analyzer.tokenStream(docText, new StringReader(docText));
try {
Token t;
//System.out.println(docText);
while ((t = tokenStream.next()) != null)
{
System.out.println(t);
}
} catch (IOException e) {
e.printStackTrace();
}
}
private static String readText(File file) {
String text = null;
try
{
InputStreamReader read1 = new InputStreamReader(new FileInputStream(file), "GBK");
BufferedReader br1 = new BufferedReader(read1);
StringBuffer buff1 = new StringBuffer();
while((text = br1.readLine()) != null)
{
buff1.append(text + "/r/n");
}
br1.close();
text = buff1.toString();
}
catch(FileNotFoundException e)
{
System.out.println(e);
}
catch(IOException e)
{
System.out.println(e);
}
return text;
}
}
说明：此测试程序对lucene2.2适用，但对lucene3.0不适用，因为其去掉了tokenStream.next()方法，具体可参考：http://www.cnblogs.com/LeftNotEasy/archive/2010/01/14/1647778.html
4. 运行程序，会有如下提示信息：
2011-3-26 20:05:29 net.paoding.analysis.knife.PaodingMaker getProperties
信息: config paoding analysis from: F:/Work/workspace/FenciTest/file:/F:/Work/workspace/FenciTest/lib/paoding-analysis.jar!/paoding-analysis.properties;F:/Work/workspace/FenciTest/file:/F:/Work/workspace/FenciTest/lib/paoding-analysis.jar!/paoding-analysis-default.properties;F:/Work/workspace/FenciTest/file:/F:/Work/workspace/FenciTest/lib/paoding-analysis.jar!/paoding-analyzer.properties;F:/Work/workspace/FenciTest/file:/F:/Work/workspace/FenciTest/lib/paoding-analysis.jar!/paoding-dic-home.properties;F:/Work/workspace/FenciTest/data/dic/paoding-dic-names.properties;F:/Work/workspace/FenciTest/file:/F:/Work/workspace/FenciTest/lib/paoding-analysis.jar!/paoding-knives.properties;F:/Work/workspace/FenciTest/file:/F:/Work/workspace/FenciTest/lib/paoding-analysis.jar!/paoding-knives-user.properties
2011-3-26 20:05:29 net.paoding.analysis.knife.PaodingMaker createPaodingWithKnives
信息: add knike: net.paoding.analysis.knife.CJKKnife
2011-3-26 20:05:29 net.paoding.analysis.knife.PaodingMaker createPaodingWithKnives
信息: add knike: net.paoding.analysis.knife.LetterKnife
2011-3-26 20:05:29 net.paoding.analysis.knife.PaodingMaker createPaodingWithKnives
信息: add knike: net.paoding.analysis.knife.NumberKnife
这是正常情况，表示”刀片”加载成功，后面则会输出具体的分词结果。
到此庖丁分词小程序就已成功实现~
p.s.路径中不能有中文，所以目录名都最好不要用中文。