public ActionResult CompareResults()
{
NaiveBayesSentimentAnalizator.Train();
SVMSentimentAnalyzator.Train();
DataHandler.ImportReviewData(1);
var model = new List <MultipleSentimentAnalysisData>();
foreach (ReviewData review in DataHandler.Reviews)
{
MultipleSentimentAnalysisData resultItem = new MultipleSentimentAnalysisData()
{
ReviewText = review.reviewText, Grade = review.overall
};
var currentSentiment = LexiconSentimentAnalizator.AnalyzeReview(review);
resultItem.LexiconSentimentEvaluation = currentSentiment.SentimentEvaluation;
currentSentiment = NaiveBayesSentimentAnalizator.AnalyzeReview(review);
resultItem.NaiveBayesSentimentEvaluation = currentSentiment.SentimentEvaluation;
currentSentiment = SVMSentimentAnalyzator.AnalyzeReview(review);
resultItem.SVMSentimentEvaluation = currentSentiment.SentimentEvaluation;
model.Add(resultItem);
}
return(View(model));
}
public ActionResult AnalyzeAllSVMly()
{
SVMSentimentAnalyzator.Train();
var model = new List <SentimentAnalysisData>();
double error = 0;
DataHandler.ImportReviewData(1);
foreach (ReviewData review in DataHandler.Reviews)
{
var currentSentiment = SVMSentimentAnalyzator.AnalyzeReview(review);
error += Math.Abs(review.overall - currentSentiment.SentimentEvaluation);
model.Add(currentSentiment);
}
Console.WriteLine(error);
ViewBag.Name = "SVM Classification";
return(View("AnalyzeAllML", model));
}
