static void Main(string[] args)
{
DataTable table = new DataTable();
table.Columns.Add("Sex");
table.Columns.Add("Height", typeof(double));
table.Columns.Add("Weight", typeof(double));
table.Columns.Add("FootSize", typeof(double));
//training data.
table.Rows.Add("male", 6, 180, 12);
table.Rows.Add("male", 5.92, 190, 11);
table.Rows.Add("male", 5.58, 170, 12);
table.Rows.Add("male", 5.92, 165, 10);
table.Rows.Add("female", 5, 100, 6);
table.Rows.Add("female", 5.5, 150, 8);
table.Rows.Add("female", 5.42, 130, 7);
table.Rows.Add("female", 5.75, 150, 9);
BayesClassifier classifier = new BayesClassifier();
classifier.TrainClassifier(table);
Console.WriteLine(classifier.Classify(new double[] { 4, 150, 12 }));
Console.Read();
}
public void ClassifyTest()
{
String text = "雁塔王家村民房凌晨突发火灾 4人死亡13人受伤";
int result = BayesClassifier.Classify(text);
Console.WriteLine(result);
}
public static SentimentAnalysisData AnalyzeReview(ReviewData data)
{
SentimentAnalysisData result = new SentimentAnalysisData {
Review = data
};
result.SentimentEvaluation = int.Parse(classifier.Classify(result.Review.reviewText));
return(result);
}
protected Int16 Judgement(String Title)
{
//IsAccident isAccident = new IsAccident(Title);
//if (isAccident.isAccResu)
// return 0;
//每判断一个类别，插入一个类别
// BayesClassifier classifier = new BayesClassifier();// 构造Bayes分类器
Int16 result = BayesClassifier.Classify(Title);// 进行分类
return(result);
}