private static void TestClassifier(string input)
{
Index positiveSentiment = Index.CreateMemoryIndex();
Index negativeSentiment = Index.CreateMemoryIndex();
// train the indexes
positiveSentiment.Add(Entry.FromString("this is awesome?"));
positiveSentiment.Add(Entry.FromString("i really enjoyed this program"));
positiveSentiment.Add(Entry.FromString("the new event was GREAT!"));
positiveSentiment.Add(Entry.FromString("I thought that new phone was ideal, some of the key features blew my mind!"));
positiveSentiment.Add(Entry.FromString("OK, that's a super idea, lets do it!"));
negativeSentiment.Add(Entry.FromString("That was terrible! What were you thinking?"));
negativeSentiment.Add(Entry.FromString("OMG! No way! I can't believe that! Terrible!"));
negativeSentiment.Add(Entry.FromString("I just got this new phone but wish I hadn't. It's pretty crap!"));
negativeSentiment.Add(Entry.FromString("There's no way I'd sign up with them. Their customer service is terrible!"));
negativeSentiment.Add(Entry.FromString("That's just rubbish!!!"));
Analyzer analyzer = new Analyzer();
Console.WriteLine("Classifying: " + input);
CategorizationResult result = analyzer.Categorize(Entry.FromString(input), positiveSentiment, negativeSentiment);
switch (result)
{
case CategorizationResult.First:
Console.WriteLine("Positive sentiment");
break;
case CategorizationResult.Second:
Console.WriteLine("Negative sentiment");
break;
case CategorizationResult.Undetermined:
Console.WriteLine("Undecided");
break;
}
}
public static BayesAnalyzer GetTrained(string dataSet)
{
var positive = Index.CreateMemoryIndex();
var negative = Index.CreateMemoryIndex();
var ms = new MemoryStream();
using (var fs = GenerateStreamFromString(dataSet))
{
using (var sr = new StreamReader(fs))
{
sr.ReadLine();
string line = null;
while ((line = sr.ReadLine()) != null)
{
var data = line.Split(new[] { ',' });
switch (data[0].Trim())
{
case "Pos":
positive.Add(Entry.FromString(data[1].Trim()));
break;
case "Neg":
negative.Add(Entry.FromString(data[1].Trim()));
break;
}
}
}
}
return(new BayesAnalyzer(positive, negative));
}