Example usage for edu.stanford.nlp.trees Tree labeledYield

Introduction

In this page you can find the example usage for edu.stanford.nlp.trees Tree labeledYield.

Prototype

public List<LabeledWord> labeledYield() 

Source Link

Usage

From source file:edu.rpi.tw.linkipedia.search.nlp.NaturalLanguageProcessor.java

License:Open Source License

public String printTree(Tree tree) {
    List<LabeledWord> words = tree.labeledYield();

    String currentPhrase = "";
    for (LabeledWord word : words) {
        if (!(word.tag().toString().matches("[A-Z]+")))
            continue;
        currentPhrase += word.word() + "|" + word.tag() + " ";
    }//  ww w . j a  v  a  2s.c  om
    System.out.println("Phrase: " + currentPhrase);
    return currentPhrase;
}

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From source file:edu.rpi.tw.linkipedia.search.nlp.NaturalLanguageProcessor.java

License:Open Source License

private List<String> getNounPhraseFromParseTree(Tree parse) {

    List<String> phraseList = new ArrayList<String>();
    for (Tree subtree : parse) {
        if (subtree.label().value().equals("NP")) {
            String subtreeString = subtree.toString();
            if (subtreeString.lastIndexOf("(NP") != subtreeString.indexOf("(NP"))
                continue;
            //System.out.println(subtree);
            List<LabeledWord> words = subtree.labeledYield();
            String currentPhrase = "";
            for (LabeledWord word : words) {

                currentPhrase += word.word() + "|" + word.tag() + " ";
            }// w w  w .jav a 2  s . co  m
            currentPhrase = currentPhrase.trim();
            phraseList.add(currentPhrase);
        }
    }

    return phraseList;

}

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From source file:reactivetechnologies.sentigrade.engine.nlp.SentimentAnalyzer.java

License:Apache License

private double calcPOSNoun(Tree parse) {

    TregexPattern pattern = TregexPattern.compile("@NN");
    TregexMatcher matcher = pattern.matcher(parse);
    double score = 0.0;
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();

        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractNoun(t + "");

        }/*w w  w  . ja  va 2  s .  com*/
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("Noun Labels: " + labeledYield);
    }

    LOG.debug("Sentinet: " + score);

    return score;
}

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From source file:reactivetechnologies.sentigrade.engine.nlp.SentimentAnalyzer.java

License:Apache License

private double calcPOSAdv(Tree parse) {

    TregexPattern pattern = TregexPattern.compile("@RB");
    TregexMatcher matcher = pattern.matcher(parse);
    double score = 0.0;
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();

        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractAdv(t + "");

        }//from   w w w. jav  a 2s.c  om
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("Adv Labels: " + labeledYield);
    }

    pattern = TregexPattern.compile("@RBR");
    matcher = pattern.matcher(parse);
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();
        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractAdv(t + "");

        }
        // System.out.println("Adj: " + leaves);
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("Adv Labels: " + labeledYield);
    }

    pattern = TregexPattern.compile("@RBS");
    matcher = pattern.matcher(parse);
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();
        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractAdv(t + "");

        }
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("Adv Labels: " + labeledYield);
    }

    pattern = TregexPattern.compile("@ADVP");
    matcher = pattern.matcher(parse);
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();
        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractAdv(t + "");

        }
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("Adv Labels: " + labeledYield);
    }

    LOG.debug("Sentinet: " + score);

    return score;
}

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From source file:reactivetechnologies.sentigrade.engine.nlp.SentimentAnalyzer.java

License:Apache License

private double calcPOSVerb(Tree parse) {

    TregexPattern pattern = TregexPattern.compile("@VB");
    TregexMatcher matcher = pattern.matcher(parse);
    double score = 0.0;
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();

        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractVerb(t + "");

        }/*from www.  j  av a  2 s .  c o  m*/
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("Verb Labels: " + labeledYield);
    }

    pattern = TregexPattern.compile("@VBD");
    matcher = pattern.matcher(parse);
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();
        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractVerb(t + "");

        }
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("verb Labels: " + labeledYield);
    }

    pattern = TregexPattern.compile("@VBG");
    matcher = pattern.matcher(parse);
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();
        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractVerb(t + "");

        }
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("verb Labels: " + labeledYield);
    }

    pattern = TregexPattern.compile("@VBZ");
    matcher = pattern.matcher(parse);
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();
        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractVerb(t + "");

        }
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("verb Labels: " + labeledYield);
    }

    pattern = TregexPattern.compile("@VBN");
    matcher = pattern.matcher(parse);
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();
        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractVerb(t + "");

        }
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("verb Labels: " + labeledYield);
    }

    pattern = TregexPattern.compile("@VBP");
    matcher = pattern.matcher(parse);
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();
        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractVerb(t + "");

        }
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("verb Labels: " + labeledYield);
    }

    LOG.debug("Sentinet: " + score);

    return score;
}

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From source file:reactivetechnologies.sentigrade.engine.nlp.SentimentAnalyzer.java

License:Apache License

private double calcPOSAdj(Tree parse) {

    TregexPattern pattern = TregexPattern.compile("@JJ");
    TregexMatcher matcher = pattern.matcher(parse);
    double score = 0.0;
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();

        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractAdj(t + "");

        }/*from w w w . j av a 2s. c om*/
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("Adj Labels: " + labeledYield);
    }

    pattern = TregexPattern.compile("@JJR");
    matcher = pattern.matcher(parse);
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();
        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractAdj(t + "");

        }
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("Adj Labels: " + labeledYield);
    }

    pattern = TregexPattern.compile("@JJS");
    matcher = pattern.matcher(parse);
    while (matcher.find()) {
        Tree match = matcher.getMatch();
        List<Tree> leaves = match.getLeaves();
        if (sentiNet.isLoaded()) {
            for (Tree t : leaves)
                score += sentiNet.extractAdj(t + "");

        }
        List<LabeledWord> labeledYield = match.labeledYield();
        LOG.debug("Adj Labels: " + labeledYield);
    }

    LOG.debug("Sentinet: " + score);

    return score;
}

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