de.l3s.boilerpipe.filters.english.DensityRulesClassifier java code examples

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private void myMethod () {
 Connection c =DataSource dataSource;dataSource.getConnection()
String url;DriverManager.getConnection(url)
IdentityDatabaseUtil.getDBConnection()
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}

public boolean process(TextDocument doc)
    throws BoilerpipeProcessingException {
  List<TextBlock> textBlocks = doc.getTextBlocks();
  boolean hasChanges = false;
  ListIterator<TextBlock> it = textBlocks.listIterator();
  if (!it.hasNext()) {
    return false;
  }
  TextBlock prevBlock = TextBlock.EMPTY_START;
  TextBlock currentBlock = it.next();
  TextBlock nextBlock = it.hasNext() ? it.next() : TextBlock.EMPTY_START;
  hasChanges = classify(prevBlock, currentBlock, nextBlock) | hasChanges;
  if (nextBlock != TextBlock.EMPTY_START) {
    while (it.hasNext()) {
      prevBlock = currentBlock;
      currentBlock = nextBlock;
      nextBlock = it.next();
      hasChanges = classify(prevBlock, currentBlock, nextBlock)
          | hasChanges;
    }
    prevBlock = currentBlock;
    currentBlock = nextBlock;
    nextBlock = TextBlock.EMPTY_START;
    hasChanges = classify(prevBlock, currentBlock, nextBlock)
        | hasChanges;
  }
  return hasChanges;
}

  public boolean process(TextDocument doc)
      throws BoilerpipeProcessingException {

    return

    SimpleBlockFusionProcessor.INSTANCE.process(doc)
        | BlockProximityFusion.MAX_DISTANCE_1.process(doc)
        | DensityRulesClassifier.INSTANCE.process(doc);
  }
}

  public boolean process(TextDocument doc)
      throws BoilerpipeProcessingException {

    return

    SimpleBlockFusionProcessor.INSTANCE.process(doc)
        | BlockProximityFusion.MAX_DISTANCE_1.process(doc)
        | DensityRulesClassifier.INSTANCE.process(doc);
  }
}

  public boolean process(TextDocument doc)
      throws BoilerpipeProcessingException {

    return

    SimpleBlockFusionProcessor.INSTANCE.process(doc)
        | BlockProximityFusion.MAX_DISTANCE_1.process(doc)
        | DensityRulesClassifier.INSTANCE.process(doc);
  }
}

public boolean process(TextDocument doc)
    throws BoilerpipeProcessingException {
  List<TextBlock> textBlocks = doc.getTextBlocks();
  boolean hasChanges = false;
  ListIterator<TextBlock> it = textBlocks.listIterator();
  if (!it.hasNext()) {
    return false;
  }
  TextBlock prevBlock = TextBlock.EMPTY_START;
  TextBlock currentBlock = it.next();
  TextBlock nextBlock = it.hasNext() ? it.next() : TextBlock.EMPTY_START;
  hasChanges = classify(prevBlock, currentBlock, nextBlock) | hasChanges;
  if (nextBlock != TextBlock.EMPTY_START) {
    while (it.hasNext()) {
      prevBlock = currentBlock;
      currentBlock = nextBlock;
      nextBlock = it.next();
      hasChanges = classify(prevBlock, currentBlock, nextBlock)
          | hasChanges;
    }
    prevBlock = currentBlock;
    currentBlock = nextBlock;
    nextBlock = TextBlock.EMPTY_START;
    hasChanges = classify(prevBlock, currentBlock, nextBlock)
        | hasChanges;
  }
  return hasChanges;
}

  public boolean process(TextDocument doc)
      throws BoilerpipeProcessingException {

    return

    SimpleBlockFusionProcessor.INSTANCE.process(doc)
        | BlockProximityFusion.MAX_DISTANCE_1.process(doc)
        | DensityRulesClassifier.INSTANCE.process(doc);
  }
}

public boolean process(TextDocument doc)
    throws BoilerpipeProcessingException {
  List<TextBlock> textBlocks = doc.getTextBlocks();
  boolean hasChanges = false;
  ListIterator<TextBlock> it = textBlocks.listIterator();
  if (!it.hasNext()) {
    return false;
  }
  TextBlock prevBlock = TextBlock.EMPTY_START;
  TextBlock currentBlock = it.next();
  TextBlock nextBlock = it.hasNext() ? it.next() : TextBlock.EMPTY_START;
  hasChanges = classify(prevBlock, currentBlock, nextBlock) | hasChanges;
  if (nextBlock != TextBlock.EMPTY_START) {
    while (it.hasNext()) {
      prevBlock = currentBlock;
      currentBlock = nextBlock;
      nextBlock = it.next();
      hasChanges = classify(prevBlock, currentBlock, nextBlock)
          | hasChanges;
    }
    prevBlock = currentBlock;
    currentBlock = nextBlock;
    nextBlock = TextBlock.EMPTY_START;
    hasChanges = classify(prevBlock, currentBlock, nextBlock)
        | hasChanges;
  }
  return hasChanges;
}

public boolean process(TextDocument doc)
    throws BoilerpipeProcessingException {
  List<TextBlock> textBlocks = doc.getTextBlocks();
  boolean hasChanges = false;
  ListIterator<TextBlock> it = textBlocks.listIterator();
  if (!it.hasNext()) {
    return false;
  }
  TextBlock prevBlock = TextBlock.EMPTY_START;
  TextBlock currentBlock = it.next();
  TextBlock nextBlock = it.hasNext() ? it.next() : TextBlock.EMPTY_START;
  hasChanges = classify(prevBlock, currentBlock, nextBlock) | hasChanges;
  if (nextBlock != TextBlock.EMPTY_START) {
    while (it.hasNext()) {
      prevBlock = currentBlock;
      currentBlock = nextBlock;
      nextBlock = it.next();
      hasChanges = classify(prevBlock, currentBlock, nextBlock)
          | hasChanges;
    }
    prevBlock = currentBlock;
    currentBlock = nextBlock;
    nextBlock = TextBlock.EMPTY_START;
    hasChanges = classify(prevBlock, currentBlock, nextBlock)
        | hasChanges;
  }
  return hasChanges;
}

Javadoc

Classifies TextBlocks as content/not-content through rules that have been determined using the C4.8 machine learning algorithm, as described in the paper "Boilerplate Detection using Shallow Text Features", particularly using text densities and link densities.

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How to useDensityRulesClassifier in de.l3s.boilerpipe.filters.english

Best Java code snippets using de.l3s.boilerpipe.filters.english.DensityRulesClassifier (Showing top 8 results out of 315)

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DensityRulesClassifier
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de.l3s.boilerpipe.filters.english