public static Review Classify(Review review, DataSet data)
{
int wTrue = 0, wFalse = 0;
review.Words = TextChange.SplitToWords(review.Text);
double resultTrue = Math.Log(data.TrueReviewsCount / data.AllReviewsCount);
double resultFalse = Math.Log(data.FalseReviewsCount / data.AllReviewsCount);
foreach (var word in review.Words)
{
wTrue = 0;
wFalse = 0;
WordCount newWord = new WordCount(word);
if (data.TrueWords.Contains(newWord))
{
wTrue = data.TrueWords[data.TrueWords.IndexOf(newWord)].Count;
}
resultTrue += Math.Log((wTrue + 1) / (data.AllWordsCount + data.TrueWordsCount));
if (data.FalseWords.Contains(newWord))
{
wFalse = data.FalseWords[data.FalseWords.IndexOf(newWord)].Count;
}
resultFalse += Math.Log((wFalse + 1) / (data.AllWordsCount + data.FalseWordsCount));
}
review.MyTonality = (resultTrue > resultFalse);
return review;
}
private void firstButton_Click(object sender, RoutedEventArgs e)
{
DataSet data = new DataSet();
data.Get("d://result3.txt");
if (reviewText.Text == "")
{
MessageBox.Show("Введите текст отзыва");
return;
}
Review review = new Review(reviewText.Text);
Classifier.Classify(review, data);
if (review.MyTonality)
tonalityLabel.Content = "положительный";
else
tonalityLabel.Content = "отрицательный";
}
