static void Main(string[] args)
{
IDictionary <string, string> trainingFiles = new Dictionary <string, string>();
trainingFiles["English"] = @"D:\Dropbox\Code\NaiveBayes\NaiveBayes\datasets\training.language.en.txt";
trainingFiles["French"] = @"D:\Dropbox\Code\NaiveBayes\NaiveBayes\datasets\training.language.fr.txt";
trainingFiles["German"] = @"D:\Dropbox\Code\NaiveBayes\NaiveBayes\datasets\training.language.de.txt";
//loading examples in memory
IDictionary <string, String[]> trainingExamples = new Dictionary <string, String[]>();
foreach (KeyValuePair <string, string> entry in trainingFiles)
{
trainingExamples[entry.Key] = readLines(entry.Value);
}
//train classifier
NaiveBayes nb = new NaiveBayes();
nb.ChisquareCriticalValue = 6.63; //0.01 pvalue
nb.train(trainingExamples);
//get trained classifier knowledgeBase
NaiveBayesKnowledgeBase knowledgeBase = nb.KnowledgeBase;
nb = null;
trainingExamples = null;
//Use classifier
nb = new NaiveBayes(knowledgeBase);
string exampleEn = "Hello, my name is ed and I like to eat bagels. Please don't hurt me, the apples are in my soul.";
string outputEn = nb.predict(exampleEn);
Console.WriteLine("The sentence \"{0}\" was classified as \"{1}\"", exampleEn, outputEn);
string exampleFr = "Bonjour, mon nom est Ed et moi aiment manger des bagels. S'il vous plaît ne me fait pas de mal, les pommes sont dans mon âme.";
string outputFr = nb.predict(exampleFr);
Console.Write("The sentence \"{0}\" was classified as \"{1}\"", exampleFr, outputFr);
string exampleDe = "Hallo, mein Name ist ed und Ich mag Bagels essen. Bitte tu mir nicht weh, die Äpfel sind in meiner Seele.";
string outputDe = nb.predict(exampleDe);
Console.Write("The sentence \"{0}\" was classified as \"{1}\"", exampleDe, outputDe);
}
