Describe 데블스캠프2011/둘째날/Machine-Learning/NaiveBayesClassifier/김동준 here
import java.io.*;
import java.util.*;
import java.util.*;
public class Native {
public static void main(String[] args) {
}int economyNum = 0;
int politicNum = 0;
Map<String,Integer> economyWord = new HashMap<String,Integer>();
Map<String,Integer> politicWord = new HashMap<String,Integer>();
BufferedReader economyLearn;
BufferedReader politicLearn;
try {
try {
}int politicNum = 0;
Map<String,Integer> economyWord = new HashMap<String,Integer>();
Map<String,Integer> politicWord = new HashMap<String,Integer>();
BufferedReader economyLearn;
BufferedReader politicLearn;
try {
economyLearn = new BufferedReader(new FileReader(new File("C:/Users/KDJ/Documents/Devils/svm_data.tar/package/train/economy/index.economy.db")));
politicLearn = new BufferedReader(new FileReader(new File("C:/Users/KDJ/Documents/Devils/svm_data.tar/package/train/politics/index.politics.db")));
String tmp = economyLearn.readLine();
while(tmp != null) {
tmp = politicLearn.readLine();
while(tmp != null) {
} catch (FileNotFoundException e) {politicLearn = new BufferedReader(new FileReader(new File("C:/Users/KDJ/Documents/Devils/svm_data.tar/package/train/politics/index.politics.db")));
String tmp = economyLearn.readLine();
while(tmp != null) {
String[] a = tmp.split(" ");
for(String wordTmp:a) {
tmp = economyLearn.readLine();
}for(String wordTmp:a) {
if(wordTmp.length() == 1) {continue; }
if( economyWord.get(wordTmp) == null) {
else { economyWord.put(wordTmp, economyWord.get(wordTmp)+1); }
}if( economyWord.get(wordTmp) == null) {
economyNum++;
economyWord.put(wordTmp, 1);
}economyWord.put(wordTmp, 1);
else { economyWord.put(wordTmp, economyWord.get(wordTmp)+1); }
tmp = economyLearn.readLine();
tmp = politicLearn.readLine();
while(tmp != null) {
String[] a = tmp.split(" ");
for(String wordTmp:a) {
tmp = politicLearn.readLine();
}for(String wordTmp:a) {
if(wordTmp.length() == 1) {continue; }
if (politicWord.get(wordTmp) == null ) {
else { politicWord.put(wordTmp, politicWord.get(wordTmp)+1); }
}if (politicWord.get(wordTmp) == null ) {
politicNum++;
politicWord.put(wordTmp, 1);
}politicWord.put(wordTmp, 1);
else { politicWord.put(wordTmp, politicWord.get(wordTmp)+1); }
tmp = politicLearn.readLine();
// TODO Auto-generated catch block
e.printStackTrace();
} catch (IOException e) {e.printStackTrace();
// TODO Auto-generated catch block
e.printStackTrace();
}e.printStackTrace();
try {
double ecoResultNum = 0;
double polResultNum = 0;
double posiNum = 0;
double negaNum = 0;
double reslt = Math.log((double)economyNum/politicNum);
BufferedReader targetDocument = new BufferedReader(new FileReader(new File("C:/Users/KDJ/Documents/Devils/svm_data.tar/package/test/economy/economy.txt")));
String tmp = targetDocument.readLine();
while(tmp != null) {
double accu = (posiNum / (posiNum+negaNum));
targetDocument.close();
posiNum = 0;
negaNum = 0;
polResultNum = 0;
ecoResultNum = 0;
reslt = Math.log((double)economyNum/politicNum);
targetDocument = new BufferedReader(new FileReader(new File("C:/Users/KDJ/Documents/Devils/svm_data.tar/package/test/politics/politics.txt")));
tmp = targetDocument.readLine();
while(tmp != null) {
double accu2 = ((double)posiNum / (posiNum+negaNum));
System.out.println((accu + accu2) / 2);
} catch (FileNotFoundException e) {double polResultNum = 0;
double posiNum = 0;
double negaNum = 0;
double reslt = Math.log((double)economyNum/politicNum);
BufferedReader targetDocument = new BufferedReader(new FileReader(new File("C:/Users/KDJ/Documents/Devils/svm_data.tar/package/test/economy/economy.txt")));
String tmp = targetDocument.readLine();
while(tmp != null) {
String[] str = tmp.split(" ");
for(String tmpStr:str) {
if(reslt < 0) { negaNum+= 1; }
else { posiNum += 1; }
reslt = 0;
tmp = targetDocument.readLine();
}for(String tmpStr:str) {
if(economyWord.get(tmpStr) == null) { ecoResultNum = 0; }
else { ecoResultNum = economyWord.get(tmpStr); }
if(politicWord.get(tmpStr) == null) { polResultNum = 0; }
else { polResultNum = politicWord.get(tmpStr); }
polResultNum+=1;
ecoResultNum+=1;
reslt += Math.log(ecoResultNum / polResultNum);
}else { ecoResultNum = economyWord.get(tmpStr); }
if(politicWord.get(tmpStr) == null) { polResultNum = 0; }
else { polResultNum = politicWord.get(tmpStr); }
polResultNum+=1;
ecoResultNum+=1;
reslt += Math.log(ecoResultNum / polResultNum);
if(reslt < 0) { negaNum+= 1; }
else { posiNum += 1; }
reslt = 0;
tmp = targetDocument.readLine();
double accu = (posiNum / (posiNum+negaNum));
targetDocument.close();
posiNum = 0;
negaNum = 0;
polResultNum = 0;
ecoResultNum = 0;
reslt = Math.log((double)economyNum/politicNum);
targetDocument = new BufferedReader(new FileReader(new File("C:/Users/KDJ/Documents/Devils/svm_data.tar/package/test/politics/politics.txt")));
tmp = targetDocument.readLine();
while(tmp != null) {
String[] str = tmp.split(" ");
for(String tmpStr:str) {
if(reslt < 0) { negaNum+= 1; }
else { posiNum += 1; }
reslt = 0;
tmp = targetDocument.readLine();
}for(String tmpStr:str) {
if(economyWord.get(tmpStr) == null) { ecoResultNum = 0; }
else { ecoResultNum = economyWord.get(tmpStr); }
if(politicWord.get(tmpStr) == null) { polResultNum = 0; }
else { polResultNum = politicWord.get(tmpStr); }
polResultNum+=1;
ecoResultNum+=1;
reslt += Math.log(polResultNum / ecoResultNum);
}else { ecoResultNum = economyWord.get(tmpStr); }
if(politicWord.get(tmpStr) == null) { polResultNum = 0; }
else { polResultNum = politicWord.get(tmpStr); }
polResultNum+=1;
ecoResultNum+=1;
reslt += Math.log(polResultNum / ecoResultNum);
if(reslt < 0) { negaNum+= 1; }
else { posiNum += 1; }
reslt = 0;
tmp = targetDocument.readLine();
double accu2 = ((double)posiNum / (posiNum+negaNum));
System.out.println((accu + accu2) / 2);
// TODO Auto-generated catch block
e.printStackTrace();
} catch (IOException e) {e.printStackTrace();
// TODO Auto-generated catch block
e.printStackTrace();
}e.printStackTrace();
