public void ClassifySongsTogether()
{
string positivitySvmPath = System.IO.Path.Combine(Classifier.ExecutableInformation.getModelsDir(), positiveClassificationMethod);
string energySvmPath = System.IO.Path.Combine(Classifier.ExecutableInformation.getModelsDir(), energyClassificationMethod);
Classifier.SupportVectorMachine svm = new Classifier.SupportVectorMachine(positivitySvmPath, energySvmPath);
List <string> unclassifiedSongs = new List <string>();
foreach (string song in songs)
{
if (!ServerDatabase.Instance.DoesSongExist(song))
{
unclassifiedSongs.Add(song);
}
}
//Don't try to reclassify the same song. Waste of time.
string output = svm.Classify(unclassifiedSongs);
foreach (ClassifierResult result in JsonDTOMapper.getJsonDTO(output).ClassifierResults)
{
Song classifiedSong = result.song;
EmotionSpaceDTO point = new EmotionSpaceDTO(classifiedSong.energy, classifiedSong.positivity);
ServerDatabase.Instance.addSongToDatabase(classifiedSong.title, point);
}
}
public void Classify()
{
Classifier clas = new Classifier();
foreach (string song in songs)
{
if (!ServerDatabase.Instance.DoesSongExist(song))
{
//Don't try to reclassify the same song. Waste of time.
string output = clas.classify(song);
Song classifiedSong = JsonDTOMapper.getJsonDTO(output).ClassifierResults[0].song;
EmotionSpaceDTO point = new EmotionSpaceDTO(classifiedSong.energy, classifiedSong.positivity);
ServerDatabase.Instance.addSongToDatabase(song, point);
}
}
}
