//проверка текста и обучение программы
private void button5_Click(object sender, EventArgs e)
{
if (textBox1.Text != "")
{
bool isSpam = false;
double SpamPercent = 0.5;
string inputContent = textBox1.Text;
СleaningUpUnnecessary(ref inputContent);
string[] AllWords = Separator(inputContent);
List <string> words = new List <string>();
foreach (var word in AllWords)
{
if (word.Length > 4 && word.Length < 100 && word.Substring(0, 4) != "http")
{
words.Add(word);
}
}
Dictionary <string, int> dictionary = WordCounter(words);
List <string> words2check = WordCheck(dictionary);
Checking(ref SpamPercent, words2check);
SpamTextResult(SpamPercent, ref isSpam);
ManualSetting(ref isSpam);
BayesTheorem.Learning(words2check, isSpam);
label7.Text = SpamPercent.ToString();
}
}
public void Checking(ref double SpamPercent, List <string> words2check)
{
double NeSpamPersent = 0;
string DBaseFirstValue = BayesTheorem.FindSpamWord(words2check[0]);
if (DBaseFirstValue == "")
{
DBaseFirstValue = "0,5";
}
SpamPercent = Convert.ToDouble(DBaseFirstValue);
NeSpamPersent = 1 - SpamPercent;
bool isTheFirst = true;
foreach (var word2check in words2check)
{
if (isTheFirst)
{
isTheFirst = false;
continue;
}
string DBaseValue = BayesTheorem.FindSpamWord(word2check);
if (DBaseValue == "")
{
DBaseValue = "0,5";
}
double P_X = SpamPercent;
double P_Y = Convert.ToDouble(DBaseValue);
SpamPercent *= P_Y;
NeSpamPersent *= (1 - P_Y);
SpamPercent = P_X * P_Y / (P_X * P_Y + (1 - P_X) * (1 - P_Y));
}
//SpamPercent = SpamPercent / (SpamPercent + NeSpamPersent);
}