Package uk.ac.cam.ha293.tweetlabel.types

Examples of uk.ac.cam.ha293.tweetlabel.types.Category

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    alphaSet.add(1.25);
    alphaSet.add(1.5);
    alphaSet.add(1.75);
    alphaSet.add(2.00);
    for(Double alpha : alphaSet) {
      LLDATopicModel llda = new LLDATopicModel(corpus,1000,100,0,alpha,0.01);
      llda.runQuickCVGibbsSampling(0);
    }
  }
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      final double alph=al;
      Thread thread = new Thread(){
        public void run() {
          System.out.println("THREAD: "+"Running for alpha="+alph);
          Corpus corpus = Corpus.loadLabelled("textwiseproper", "allprofiles-unstemmed-textwiseproper-top3");
          LLDATopicModel llda = new LLDATopicModel(corpus,1000,100,0,alph,0.01,fThread);
          llda.runQuickCVGibbsSampling(0);
        }
      };
      thread.start();
    }
    System.out.println("All threads started");
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        Thread thread = new Thread(){
          public void run() {
            double[] alphas = {0.25,0.5,0.75,1.0,1.25,1.5,1.75,2.0};
            for(double alpha : alphas) {
              System.out.println("THREAD "+fThread+": Running for alpha="+alpha);
              LLDATopicModel llda = new LLDATopicModel(fCorpus,1000,100,0,alpha,0.01,fThread);
              llda.runQuickCVGibbsSampling(iReduction);
            }
          }
        };
        thread.start();
      }
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        Thread thread = new Thread(){
          public void run() {
            double[] alphas = {0.25,0.5,0.75,1.0,1.25,1.5,1.75,2.0};
            for(double alpha : alphas) {
              System.out.println("THREAD "+fThread+": Running for alpha="+alpha);
              LLDATopicModel llda = new LLDATopicModel(fCorpus,1000,100,0,alpha,0.01,fThread);
              llda.runQuickCVGibbsSampling(-1*iReduction); //sooo hacky
            }
          }
        };
        thread.start();
      }
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    return userIDs;
  }
 
  public static void alchemyClassificationRoutine() {
    System.out.println("Beginning complete Alchemy classification...");
    Profiler profiler = new Profiler();
    while(!synchronisedUserIDList.isEmpty()) {
      long currentID = synchronisedUserIDList.remove(0);
      SimpleProfile profile = profiler.loadCSVProfile(currentID);
      if(!profile.classifyAlchemy()) {
        System.err.println("Failed to classify profile properly, probably reached the daily limit");
        return;
      }
    }
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    }
  }
 
  public static void textwiseClassificationRoutine() {
    System.out.println("Beginning complete Textwise classification...");
    Profiler profiler = new Profiler();
    while(!synchronisedUserIDList.isEmpty()) {
      long currentID = synchronisedUserIDList.remove(0);
      SimpleProfile profile = profiler.loadCSVProfile(currentID);
      if(!profile.classifyTextwise()) {
        System.err.println("Failed to classify profile "+currentID+" properly using Textwise");
        return;
      }
    }
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    }
  }
 
  public static void properTextwiseClassificationRoutine() {
    System.out.println("Beginning complete Textwise classification...");
    Profiler profiler = new Profiler();
    while(!synchronisedUserIDList.isEmpty()) {
      long currentID = synchronisedUserIDList.remove(0);
      SimpleProfile profile = profiler.loadCSVProfile(currentID);
      if(!profile.classifyTextwiseProper()) {
        System.err.println("Failed to classify profile "+currentID+" properly using Textwise");
        return;
      }
    }
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      Corpus corpus = new Corpus(topicType);
      int count = 0;
      for(Long userID : Tools.getCSVUserIDs()) {
        if(count % 50 == 0) System.out.println("Added "+count+" profiles to Corpus");
        count++;
        SimpleProfile profile = Profiler.loadCSVProfile(userID);
        profile.reduceBy(reduction);
        corpus.addDocument(profile.asDocument(topicType));
      }
      return corpus; 
    }
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      Corpus corpus = new Corpus(topicType);
      int count = 0;
      for(Long userID : Tools.getCSVUserIDs()) {
        if(count % 50 == 0) System.out.println("Added "+count+" profiles to Corpus");
        count++;
        SimpleProfile profile = Profiler.loadCSVProfile(userID);
        corpus.addDocument(profile.asDocument(topicType));
      }
      return corpus;
    }
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  public static void alchemyClassificationRoutine() {
    System.out.println("Beginning complete Alchemy classification...");
    Profiler profiler = new Profiler();
    while(!synchronisedUserIDList.isEmpty()) {
      long currentID = synchronisedUserIDList.remove(0);
      SimpleProfile profile = profiler.loadCSVProfile(currentID);
      if(!profile.classifyAlchemy()) {
        System.err.println("Failed to classify profile properly, probably reached the daily limit");
        return;
      }
    }
    System.out.println("Classification thread complete");
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Related Classes of uk.ac.cam.ha293.tweetlabel.types.Category

  • cc.mallet.pipe.CharSequence2TokenSequence
  • cc.mallet.pipe.Pipe
  • cc.mallet.pipe.PrintInputAndTarget
  • cc.mallet.pipe.SerialPipes
  • cc.mallet.pipe.TokenSequence2FeatureSequence
  • cc.mallet.pipe.TokenSequenceLowercase
  • cc.mallet.pipe.TokenSequenceRemoveStopwords
  • cc.mallet.topics.ParallelTopicModel
  • cc.mallet.topics.SimpleLDA
  • cc.mallet.types.Instance
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