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";
        }