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Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It provides the foundational building blocks for higher level text understanding applications.

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package edu.stanford.nlp.coref.hybrid.rf;

import java.io.Serializable;

import edu.stanford.nlp.ling.RVFDatum;
import edu.stanford.nlp.stats.Counter;
import edu.stanford.nlp.util.Index;

public class RandomForest implements Serializable {
  private static final long serialVersionUID = -2736377471905671276L;

  public final DecisionTree[] trees;
  public final Index featureIndex;

  public RandomForest(Index featureIndex, int numTrees) {
    this.featureIndex = featureIndex;
    this.trees = new DecisionTree[numTrees];
  }

  public double probabilityOfTrue(RVFDatum datum) {
    return probabilityOfTrue(datum.asFeaturesCounter());
  }
  public double probabilityOfTrue(Counter features) {
    double probTrue = 0;
    for (DecisionTree tree : trees) {
      probTrue += tree.probabilityOfTrue(features);
    }
    return probTrue / trees.length;
  }
}