/* Daniel Shiffman               *//* Bayesian Spam Filter Example  *//* Programming from A to Z       *//* Spring 2006                   *//* http://www.shiffman.net       *//* daniel.shiffman@nyu.edu       */// Main driver programpackage bayes;import java.io.*;import a2z.*;public class Bayesian {	public static void main (String args[]) {		try {						// Create a new SpamFilter Object			SpamFilter filter = new SpamFilter();						// Train spam with a file of spam e-mails			filter.trainSpam("spam.txt");			// Train spam with a file of regular e-mails			filter.trainGood("good.txt");			// We are finished adding words so finalize the results			filter.finalizeTraining();									for (int i = 1; i < 4; i++) {				// Read in a text file				A2ZFileReader fr = new A2ZFileReader("messages/mail" + i + ".txt");				String stuff = fr.getContent();								// Ask the filter to analyze it				boolean spam = filter.analyze(stuff);								// Print results				if (spam) System.out.println("I do believe this message is spam!");				else System.out.println("I do believe this is a genuine message!");			}					} catch (IOException e) {			e.printStackTrace();		}	}}