// 数据结构解析:<单词,二维数组>,其中单词表示公共词， // 二维数组一维度表示句子一的向量,另一维度表示句子二的向量 public class CosSimTextSim { Map<String, float[]> vectorMap = new HashMap<String, float[]>(); float[] tempArray = null;

public CosSimTextSim(String string1, String string2) {	String stri2 = null;	float stri1 = 0.00f;	for (String str2 : string2.split(" ")) {		if (vectorMap.containsKey(str2)) {			vectorMap.get(str2)[1]++;		} else {			tempArray = new float[2];			tempArray[0] = 1;			tempArray[1] = 0;			vectorMap.put(str2, tempArray);		}	}	for (String str2 : string2.split(" ")) {		if (vectorMap.containsKey(str2)) {			vectorMap.get(str2)[1]++;		} else {			tempArray = new float[2];			tempArray[0] = 0;			tempArray[1] = 1;			vectorMap.put(str2, tempArray);		}	}	for (Entry
    
      entry : vectorMap.entrySet()) {	}}// 求余弦相似度public double sim() {	double result = 0;	result = pointMulti(vectorMap) / sqrtMulti(vectorMap);	return result;}private double sqrtMulti(Map
     
       vectorMap2) {	double result = 0;	result = squares(vectorMap2);	result = Math.sqrt(result);	return result;}// 求平方和private double squares(Map
      
        vectorMap2) {	double result1 = 0;	double result2 = 0;	Set
       
         keySet = vectorMap2.keySet();	for (String str : keySet) {		float[] temp = vectorMap2.get(str);		result1 += (temp[0] * temp[0]);		result2 += (temp[1] * temp[1]);	}	return result1 * result2;}// 点乘法private double pointMulti(Map
        
          vectorMap2) {	double result = 0;	Set
         
           keySet = vectorMap2.keySet(); for (String str : keySet) { float[] temp = vectorMap2.get(str); result += (temp[0] * temp[1]); } return result;}
         
        
       
      
     
    

}