public bool FindMoodMethod(string g)
{
string dataFilePath = Server.MapPath("~/MoodCsv/GenreList.txt");
var dataTable = DataTable.New.ReadCsv(dataFilePath);
List <string> x = dataTable.Rows.Select(row => row["Genre"]).ToList();
double[] y = dataTable.Rows.Select(row => double.Parse(row["Mood"])).ToArray();
var 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;
var model = new C_SVC(problem, KernelHelper.LinearKernel(), C);
string GenreId = g;
Dictionary <int, string> _predictionDictionary = new Dictionary <int, string> {
{ -2, "Scared" }, { -1, "Sad" }, { 1, "Laugh" }, { 2, "Romance" }
};
//maybe add do,while here
//GenreId = movie.with_genres;
var newX = TextClassificationProblemBuilder.CreateNode(GenreId, vocabulary);
var predictedY = model.Predict(newX);
if (predictedY == -2 || predictedY == -1 || predictedY == 1 || predictedY == 2)
{
return(true);
}
else
{
return(false);
}
// ViewBag.Mood = _predictionDictionary[-2];
}
public ActionResult FindMood(MovieList movie)
{
string dataFilePath = Server.MapPath("~/MoodCsv/GenreList.txt");
var dataTable = DataTable.New.ReadCsv(dataFilePath);
List <string> x = dataTable.Rows.Select(row => row["Genre"]).ToList();
double[] y = dataTable.Rows.Select(row => double.Parse(row["Mood"])).ToArray();
var 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;
var model = new C_SVC(problem, KernelHelper.LinearKernel(), C);
string GenreId = movie.with_genres;
Dictionary <int, string> _predictionDictionary = new Dictionary <int, string> {
{ -2, "Scared" }, { -1, "Sad" }, { 1, "Laugh" }, { 2, "Romance" }
};
//maybe add do,while here
//GenreId = movie.with_genres;
var newX = TextClassificationProblemBuilder.CreateNode(GenreId, vocabulary);
var predictedY = model.Predict(newX);
ViewBag.Mood = _predictionDictionary[(int)predictedY];
ViewBag.MovieTitle = movie.title;
ViewBag.MoviePoster = movie.poster_path;
return(View());
}
