public DocumentWindow( LabeledDocumentVector Document, String CorpusPath, List<String> Features )
{
InitializeComponent();
Parser = new SgmlParser(CorpusPath);
Parser.FilePosition = Document.Document.Location;
this.Features = Features;
HeadLine = Document.Document.HeadLine;
DateLine = Document.Document.DateLine;
Id = Document.Document.Id;
StringBuilder builder = new StringBuilder();
String Value;
while ( (Value=Parser.NextParagraph()) != null )
{
if (Parser.DocID != Id)
break;
builder.Append(Value);
}
Parser.Close();
DocumentContent = builder.ToString();
FeatureWeights = new Dictionary<string, double>();
for (int i = 0; i < Features.Count; i++)
FeatureWeights.Add(Features[i], Document.Document.Vector[i]);
VectorDataListView.ItemsSource = FeatureWeights;
this.Title = Document.Document.Id + " Details";
}
//train the documents with a given format (see documentation)
private List<LabeledDocumentVector> LoadTrainingData(String TrainingPath)
{
if (!Directory.Exists(TrainingPath))
return null;
List<LabeledDocumentVector> TrainingData = new List<LabeledDocumentVector>();
DirectoryInfo info = new DirectoryInfo(TrainingPath);
FileInfo[] files = info.GetFiles();
foreach (FileInfo file in files)
{
StreamReader reader = new StreamReader(file.FullName);
String id;
while ((id = reader.ReadLine()) != null)
{
LabeledDocumentVector Document
= new LabeledDocumentVector( (DocumentVector)DocClassifier.Documents[id],
file.Name.Substring(0,file.Name.Length-4) ); //remove the file extension
TrainingData.Add(Document);
}
reader.Close();
}
return TrainingData;
}
