1 files changed, 0 insertions, 49 deletions
diff --git a/src/Chapter4/classification/bayes/TestNBC.java b/src/Chapter4/classification/bayes/TestNBC.java
deleted file mode 100644
index 7e0e743..0000000
--- a/src/Chapter4/classification/bayes/TestNBC.java
+++ /dev/null
@@ -1,49 +0,0 @@
-package Chapter4.classification.bayes;
-
-import java.io.FileReader;
-import java.io.IOException;
-
-import com.google.gson.JsonObject;
-import com.google.gson.JsonStreamParser;
-
-public class TestNBC {
-	public static void main(String[] args){
-		
-		String filename = args.length >= 1 ? args[0] : "owsemoticons.json";
-		
-		//initialize the sentiment classifier
-		NaiveBayesSentimentClassifier nbsc = new NaiveBayesSentimentClassifier();
-        
-		try {
-			//read the file, and train each document
-			JsonStreamParser parser = new JsonStreamParser(new FileReader(filename));
-			JsonObject elem;
-			String text;
-			while (parser.hasNext()) {
-	            elem = parser.next().getAsJsonObject();
-	            text = elem.get("text").getAsString();
-	            nbsc.trainInstance(text);
-			}
-			
-			//print out the positive and negative dictionary
-			System.out.println("=== Positive Dictionary ===");
-			System.out.println(nbsc.printWordOccurs(0, 25));
-			System.out.println("=== Negative Dictionary ===");
-			System.out.println(nbsc.printWordOccurs(1, 25));
-			
-	        //now go through and classify each line as positive or negative
-//			parser = new JsonStreamParser(new FileReader(filename));
-//			while (parser.hasNext()) {
-//	            elem = parser.next().getAsJsonObject();
-//	            text = elem.get("text").getAsString();
-//	            Classification c = nbsc.classify(text);
-//	            System.out.println(c + " -> " + text);
-//			}
-			System.out.println(nbsc.classify("I love new york"));
-			
-		} catch (IOException e) {
-			e.printStackTrace();
-		}
-		
-	}
-}