// 输入待分类问题，输出一个问题向量。
public double[] getQuestionVector(String question) {
// TODO Auto-generated method stub
List<Term> parse = IndexAnalysis.parse(question);
System.out.println(parse);
String name = null;
double values[] = new double[11];
int whiteWordNum = 0;
for (int m = 0; m < 11; m++) {
values[m] = 0;
}
for (int i = 0; i < parse.size(); i++) {
System.out.println("正在处理第" + i + "个词。");
name = parse.get(i).getName();
for (int j = 0; j < 10; j++) {
int times = belongQuestionClass(name, j + 1); // times的值只可能是0和1
values[j] = values[j] + times;
whiteWordNum = whiteWordNum + times;
}
}
if (whiteWordNum != 0) {
for (int m = 0; m < 11; m++) {
values[m] = values[m] / whiteWordNum;
}
}
return values;
}
public static void main(String[] args) throws IOException {
MyStaticValue.isNumRecognition = true;
MyStaticValue.isQuantifierRecognition = false;
MyStaticValue.userLibrary = null;
UserDefineLibrary.insertWord("蛇药片", "n", 1000);
UserDefineLibrary.insertWord("蛇药", "n", 1000);
UserDefineLibrary.insertWord("鲁花", "n", 1000);
UserDefineLibrary.insertWord("隐形", "n", 1000);
UserDefineLibrary.insertWord("眼镜", "n", 1000);
UserDefineLibrary.insertWord("隐形眼镜", "n", 1000);
UserDefineLibrary.insertWord("海昌 ", "n", 1000);
UserDefineLibrary.insertWord("美瞳", "n", 1000);
System.out.println(IndexAnalysis.parse("海昌 润洁除蛋白隐形眼镜美瞳护理液 500+120ml"));
System.out.println(IndexAnalysis.parse("隐形眼镜 护理"));
System.out.println(IndexAnalysis.parse("海昌 润洁除蛋白隐形眼镜美瞳护理液 500+120ml"));
System.out.println(IndexAnalysis.parse("季德胜蛇药片"));
System.out.println(IndexAnalysis.parse("鲁花一级花生油"));
System.out.println(IndexAnalysis.parse("上海虹桥机场旅游和服务都是一流的"));
System.out.println(IndexAnalysis.parse("北京地铁"));
UserDefineLibrary.insertWord("隐形", "attr", 1000);
UserDefineLibrary.insertWord("眼镜", "attr", 1000);
UserDefineLibrary.insertWord("隐形", "attr", 1000);
UserDefineLibrary.insertWord("形眼", "attr", 1000);
UserDefineLibrary.insertWord("隐形眼", "attr", 1000);
System.out.println(IndexAnalysis.parse("隐形眼镜"));
// long start = System.currentTimeMillis() ;
//
// IndexAnalysis indexAnalysis = new IndexAnalysis(new InputStreamReader(new
// FileInputStream("/home/ansj/temp/one_day_all.txt"))) ;
//
// while(indexAnalysis.next()!=null){
//
// }
// System.out.println(System.currentTimeMillis()-start);
}