Package com.jgaap.util

Examples of com.jgaap.util.Document.addEventSet()

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    knownDocument1.setAuthor("Mary");
    knownDocument1.addEventSet(null, known1);
    knowns.add(knownDocument1);
    Document knownDocument2 = new Document();
    knownDocument2.setAuthor("Peter");
    knownDocument2.addEventSet(null, known2);
    knowns.add(knownDocument2);
    Document knownDocument3 = new Document();
    knownDocument3.setAuthor("Mary");
    knownDocument3.addEventSet(null, known3);
    knowns.add(knownDocument3);
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    knownDocument2.setAuthor("Peter");
    knownDocument2.addEventSet(null, known2);
    knowns.add(knownDocument2);
    Document knownDocument3 = new Document();
    knownDocument3.setAuthor("Mary");
    knownDocument3.addEventSet(null, known3);
    knowns.add(knownDocument3);
    Document knownDocument4 = new Document();
    knownDocument4.setAuthor("Peter");
    knownDocument4.addEventSet(null, known4);
    knowns.add(knownDocument4);
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    knownDocument3.setAuthor("Mary");
    knownDocument3.addEventSet(null, known3);
    knowns.add(knownDocument3);
    Document knownDocument4 = new Document();
    knownDocument4.setAuthor("Peter");
    knownDocument4.addEventSet(null, known4);
    knowns.add(knownDocument4);

    //Create unknown text
    EventSet unknown1 = new EventSet();
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    unknown1.addEvent(new Event("a", null));
    unknown1.addEvent(new Event("little", null));
    unknown1.addEvent(new Event("beta", null));

    Document unknownDocument = new Document();
    unknownDocument.addEventSet(null, unknown1);

    //Classify unknown based on the knowns
    WEKALinearRegression classifier = new WEKALinearRegression();
    List<List<Pair<String, Double>>> t = new ArrayList<List<Pair<String,Double>>>();
    classifier.train(knowns);
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    unknown2.addEvent(new Event("a", null));
    unknown2.addEvent(new Event("peter", null));
    unknown2.addEvent(new Event("had", null));
   
    Document unknownDocument2 = new Document();
    unknownDocument2.addEventSet(null, unknown2);
   
    t = new ArrayList<List<Pair<String,Double>>>();
    classifier.train(knowns);
    t.add(classifier.analyze(unknownDocument2));
    System.out.println(t.toString());
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    known6.addEvent(new Event("seashore", null));
    //known6.setAuthor("Susie");

    Document knownDocument5 = new Document();
    knownDocument5.setAuthor("Susie");
    knownDocument5.addEventSet(null, known5);
    knowns.add(knownDocument5);
    Document knownDocument6 = new Document();
    knownDocument6.setAuthor("Susie");
    knownDocument6.addEventSet(null, known6);
    knowns.add(knownDocument6);
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    knownDocument5.setAuthor("Susie");
    knownDocument5.addEventSet(null, known5);
    knowns.add(knownDocument5);
    Document knownDocument6 = new Document();
    knownDocument6.setAuthor("Susie");
    knownDocument6.addEventSet(null, known6);
    knowns.add(knownDocument6);
   
    t = new ArrayList<List<Pair<String,Double>>>();
    classifier.train(knowns);
    t.add(classifier.analyze(unknownDocument));
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    unknown.addEvent(new Event("snow.", null));

    List<Document> knowns = new ArrayList<Document>();
    Document knownDocument1 = new Document();
    knownDocument1.setAuthor("Mary");
    knownDocument1.addEventSet(null, known1);
    knowns.add(knownDocument1);
    Document knownDocument2 = new Document();
    knownDocument2.setAuthor("Peter");
    knownDocument2.addEventSet(null, known2);
    knowns.add(knownDocument2);
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    knownDocument1.setAuthor("Mary");
    knownDocument1.addEventSet(null, known1);
    knowns.add(knownDocument1);
    Document knownDocument2 = new Document();
    knownDocument2.setAuthor("Peter");
    knownDocument2.addEventSet(null, known2);
    knowns.add(knownDocument2);
   
    Document unknownDocument = new Document();
    unknownDocument.addEventSet(null, unknown);
    LDA classifier = new LDA();
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    knownDocument2.setAuthor("Peter");
    knownDocument2.addEventSet(null, known2);
    knowns.add(knownDocument2);
   
    Document unknownDocument = new Document();
    unknownDocument.addEventSet(null, unknown);
    LDA classifier = new LDA();
    classifier.train(knowns);
    List<Pair<String, Double>> t = classifier.analyze(unknownDocument);
    String author1 = t.get(0).getFirst();
    String author2 = t.get(1).getFirst();
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