用WVToolTest实现TFIDF

 

先来贴源码吧：

package edu.wvtool.test;

 

import java.io.FileWriter;

 

import edu.udo.cs.wvtool.config.WVTConfiguration;

import edu.udo.cs.wvtool.config.WVTConfigurationFact;

import edu.udo.cs.wvtool.generic.output.WordVectorWriter;

import edu.udo.cs.wvtool.generic.stemmer.DummyStemmer;

import edu.udo.cs.wvtool.generic.tokenizer.NGramTokenizer;

import edu.udo.cs.wvtool.generic.tokenizer.SimpleTokenizer;

import edu.udo.cs.wvtool.generic.vectorcreation.TFIDF;

import edu.udo.cs.wvtool.main.WVTDocumentInfo;

import edu.udo.cs.wvtool.main.WVTFileInputList;

import edu.udo.cs.wvtool.main.WVTWordVector;

import edu.udo.cs.wvtool.main.WVTool;

import edu.udo.cs.wvtool.wordlist.WVTWordList;

 

public class WVToolTest4 {

   

    public static void main(String[] args) throws Exception { 

           //初始化一个WVTool对象 

           WVTool wvt = new WVTool( true); 

     

            //初始化一个configuration对象 

           WVTConfiguration config = new WVTConfiguration(); 

 

    //配置config        config.setConfigurationRule(WVTConfiguration. STEP_STEMMER, new WVTConfigurationFact( new DummyStemmer())); 

           

           //定义两个输入类别的文件

           WVTFileInputList list = new WVTFileInputList(2); 

          

            // Add entries 

            //为输入添加一个文档信息对象 （WVTDocumentInfo）,其中sourceName对象可以是一个文件夹的名称，也可以是一个文件名称, 最后一个0这个文档信息对象的类别   

            //样本数据 

            list.addEntry( new WVTDocumentInfo("E:/VSMTest/edu.txt", "txt", "utf-8", "chinese", 0)); 

            list.addEntry( new WVTDocumentInfo(" E:/VSMTest/gov.txt, "txt", "utf-8", "chinese", 1)); "

            //生成wordList 

           WVTWordList wordList = wvt.createWordList(list, config); 

            //对wordList中词频做出一个限制，即词频在1<n<5之间 

           wordList.pruneByFrequency(1, 5); 

     

            //生成词组文件 

           wordList.storePlain( new FileWriter("E:/VSMTest/wordlist.txt")); 

             

           FileWriter outFile = new FileWriter("E:/VSMTest/wv.txt");

           WordVectorWriter wvw = new WordVectorWriter(outFile, true);

 

           config.setConfigurationRule(WVTConfiguration. STEP_OUTPUT, new WVTConfigurationFact(wvw));

 

           config.setConfigurationRule(WVTConfiguration. STEP_VECTOR_CREATION, new WVTConfigurationFact( new TFIDF()));

 

           // Create the vectors

           wvt.createVectors(list, config, wordList);

 

           // Close the output file

           wvw.close();

           outFile.close();

        }

}

 

样本数据内容：

E:/VSMTest/edu.txt内容：

Education in its broadest, general sense is the means through which the aims and habits of a group of people lives on from one generation to the next.China Education! China Education!

 

E:/VSMTest/gov.txt

This article is about the People's Republic of China.

 

运算过程中是先统计各单词出现词频TF、文档数N、文档频率DF

输出结果：

wordlist.txt内容（去除了停用词）：

Education

broadest

general

sense

means

aims

habits

group

people

lives

generation

China

article

People

Republic

 

wv.txt内容：

E:/VSMTest/edu.txt; 0:0.6882472016116853 1:0.22941573387056174 2:0.22941573387056174 3:0.22941573387056174 4:0.22941573387056174 5:0.22941573387056174 6:0.22941573387056174 7:0.22941573387056174 8:0.22941573387056174 9:0.22941573387056174 10:0.22941573387056174

E:/VSMTest/gov.txt; 12:0.5773502691896257 13:0.5773502691896257 14:0.5773502691896257

 

其中值为归一化后的TFIDF值。