Java tutorial
/** This software is released under the University of Illinois/Research and Academic Use License. See * the LICENSE file in the root folder for details. Copyright (c) 2016 * * Developed by: The Cognitive Computations Group, University of Illinois at Urbana-Champaign * http://cogcomp.cs.illinois.edu/ */ package edu.illinois.cs.cogcomp.saulexamples.twitter.tweet; import com.twitter.hbc.httpclient.BasicClient; import edu.illinois.cs.cogcomp.lbjava.classify.Classifier; import edu.illinois.cs.cogcomp.saulexamples.twitter.datastructures.Tweet; import org.json.JSONObject; import java.util.concurrent.BlockingQueue; /** * An example class that handles the message queue, and runs a classifier on each of the tweets. */ public class ClassifierMessageHandler extends MessageHandler { private final Classifier classifier; public ClassifierMessageHandler(BlockingQueue<String> msgQueue, BasicClient client, Classifier classifier) { super(msgQueue, client); this.classifier = classifier; } public void run() { while (!client.isDone()) { try { String msg = msgQueue.take(); Utils.printInfo(new JSONObject(msg)); String text = Utils.getCleanText(new JSONObject(msg)); // Need to convert the text to a Tweet datastructure for the classifier to work String decision = classifier.discreteValue(new Tweet(text)); System.out.println("\t***Sentiment classification: " + decision); } catch (InterruptedException e) { e.printStackTrace(); } } client.stop(); } }