internal bool IsPositiveReview(HttpRequestBase request, HttpResponseBase response, string review)
{
var newX = TextClassificationProblemBuilder.CreateNode(review, vocabulary);
var predictedY = model.Predict(newX);
return(predictedY > 0 ? true : false);
}
private RestuarantRecomandationByNLP()
{
string dataFilePath = HttpContext.Current.Server.MapPath("~/App_Data/TrainingForIsPositiveAlgo.csv");
var dataTable = DataAccess.DataTable.New.ReadCsv(dataFilePath);
List <string> x = dataTable.Rows.Select(row => row["Text"]).ToList();
double[] y = dataTable.Rows.Select(row => double.Parse(row["IsPositive"]))
.ToArray();
vocabulary = x.SelectMany(GetWords).Distinct().OrderBy(word => word).ToList();
var problemBuilder = new TextClassificationProblemBuilder();
var problem = problemBuilder.CreateProblem(x, y, vocabulary.ToList());
const int C = 1;
model = new C_SVC(problem, KernelHelper.LinearKernel(), C);
_predictionDictionary = new Dictionary <int, string> {
{ -1, "Bad" }, { 1, "Good" }
};
}
