¶
- 가 느리고 무 Linear Search로 문결 다를 보는 국 드
- 로그램 면 또 래 기다려 력 극
- 고로 로그램 복붙 그냥 면 돌가 다
- 로그램 Bayes Classifier 값 구는것 까고, 관 값 / 는 다.
률값 ¶
- 다른 들과 달리, 는 글 문 문를 글로 는 단들 Train Data 및 Test Data 다.
- 때문, 경 면는 200개 기 148개 류를 공는 보다.
- 반면, 면는 200개 기 188개 류를 공, 94% 를 보다.
Source Code ¶
- 러 강 .. 드를 는 것 권는 다;ㅁ;
Train File Analysis ¶
import java.io.*;
import java.util.ArrayList;
import java.util.List;
import java.util.StringTokenizer;
public class FileAnalasys {
String filename;
List<String> articles;
public List<String> data;
public List<Integer> frequency;
FileAnalasys(String f){
filename = f;
articles = new ArrayList<String>();
data = new ArrayList<String>();
frequency = new ArrayList<Integer>();
}
public void moveFileToData(){
try{
FileReader fr = new FileReader(filename);
BufferedReader br = new BufferedReader(fr);
String line;
String str;
line = br.readLine();
while(line != null){
articles.add(line);
StringTokenizer st = new StringTokenizer(line, " ");
while(st.hasMoreTokens()){
str = st.nextToken();
if(str.length() > 1 && str.charAt(0) != '.' && str.charAt(0) != ','&& str.charAt(0) != '!'&& str.charAt(0) != '"' && str.charAt(0) != ':' && str.charAt(0) != '-' && str.charAt(0) != ';'){
boolean addFlag = true;
for(int i=0; i<data.size(); i++){
if(str.equals(data.get(i))){
frequency.set(i, frequency.get(i)+1);
addFlag = false;
break;
}
}
if(addFlag){
data.add(str);
frequency.add(1);
}
}
}
line = br.readLine();
}
this.printDataToFile();
fr.close();
} catch(IOException e){
e.printStackTrace();
}
}
private void printDataToFile(){
try {
String fname = "D:/analysis.txt";
FileWriter fw = new FileWriter(fname);
String str = null;
for(int i=0; i < data.size(); i++){
str = data.get(i) + "\t" + frequency.get(i) + "\n";
fw.write(str);
}
fw.close();
} catch (IOException e) {
e.printStackTrace();
}
}
public void loadAnalysisFile(){
try{
FileReader fr = new FileReader(filename);
BufferedReader br = new BufferedReader(fr);
String line;
line = br.readLine();
while(line != null){
StringTokenizer st = new StringTokenizer(line, "\t");
data.add(st.nextToken());
frequency.add(Integer.parseInt(st.nextToken()));
line = br.readLine();
}
} catch(IOException e){
e.printStackTrace();
}
}
public void printArticle(){
for(int i=0; i<articles.size(); i++){
System.out.println(articles.get(i));
System.out.print("\n\n");
}
}
public void printData(){
for(int i=0; i<data.size(); i++){
System.out.print(data.get(i));
System.out.println(" " + frequency.get(i));
}
System.out.println("Data size : "+data.size());
System.out.println("Frequency size : "+frequency.size());
}
public int getArticleLength(){ return articles.size(); }
}
test File Analysis ¶
import java.io.BufferedReader;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.StringTokenizer;
public class testFileCal {
String filename;
List<Double> bayes;
testFileCal(String f){
filename = f;
bayes = new ArrayList<Double>();
}
public void testArticleRead(List<String> data, List<Integer> frequency, List<String> data2, List<Integer> frequency2){
try{
FileReader fr = new FileReader(filename);
BufferedReader br = new BufferedReader(fr);
String line;
String str;
line = br.readLine();
while(line != null){
StringTokenizer st = new StringTokenizer(line, " ");
ArrayList<String> articleWords = new ArrayList<String>();
while(st.hasMoreTokens()){
str = st.nextToken();
if(str.length() > 1 && str.charAt(0) != '.' && str.charAt(0) != ','&& str.charAt(0) != '!'&& str.charAt(0) != '"' && str.charAt(0) != ':' && str.charAt(0) != '-' && str.charAt(0) != ';'){
boolean addFlag = true;
for(int j=0; j<articleWords.size(); j++){
if(str.equals(articleWords.get(j))){
addFlag = false;
break;
}
}
if(addFlag) articleWords.add(str);
}
}
for(int i=0; i<articleWords.size(); i++) System.out.println(articleWords.get(i));
double bayesNumber = 0;
for(int j=0; j<articleWords.size(); j++){
int eNum = 0;
int pNum = 0;
for(int k=0; k<data.size(); k++){
if(articleWords.get(j).equals(data.get(k))) eNum = frequency.get(k);
}
for(int k=0; k<data2.size(); k++){
if(articleWords.get(j).equals(data2.get(k))) pNum = frequency2.get(k);
}
if (eNum == 0 || pNum == 0){ eNum++; pNum++; }
bayesNumber += Math.log((double)eNum / (double)pNum);
System.out.println(bayesNumber);
}
bayes.add(bayesNumber);
line = br.readLine();
}
} catch (IOException e) {
e.printStackTrace();
}
}
public void printBayes(){
System.out.println("bayes size : "+bayes.size());
try {
String fname = "D:/bayesResult.txt";
FileWriter fw = new FileWriter(fname);
String str = null;
for(int i=0; i < bayes.size(); i++){
str = bayes.get(i) + "\n";
System.out.println(str);
fw.write(str);
}
fw.close();
} catch (IOException e) {
e.printStackTrace();
}
}
public static void main(String [] args){
FileAnalasys ec = new FileAnalasys("D:/economy_analysis.txt");
FileAnalasys po = new FileAnalasys("D:/politics_analysis.txt");
ec.loadAnalysisFile();
po.loadAnalysisFile();
//testFileCal testE = new testFileCal("D:/economy.txt");
testFileCal testP = new testFileCal("D:/politics.txt");
//testE.testArticleRead(ec.data, ec.frequency, po.data, po.frequency);
testP.testArticleRead(po.data, po.frequency, ec.data, ec.frequency);
testP.printBayes();
}
}










