Class SentimentEvaluationErrorListener

java.lang.Object
opennlp.tools.cmdline.EvaluationErrorPrinter<opennlp.tools.sentiment.SentimentSample>
opennlp.tools.cmdline.sentiment.SentimentEvaluationErrorListener
All Implemented Interfaces:
opennlp.tools.util.eval.EvaluationMonitor<opennlp.tools.sentiment.SentimentSample>
public class SentimentEvaluationErrorListener extends opennlp.tools.cmdline.EvaluationErrorPrinter<opennlp.tools.sentiment.SentimentSample> implements opennlp.tools.util.eval.EvaluationMonitor<opennlp.tools.sentiment.SentimentSample>
Class for creating an evaluation error listener.

  • Constructor Summary

    Constructors
    Constructor
    Description
    SentimentEvaluationErrorListener()
    Constructor

  • Method Summary

    Modifier and Type
    Method
    Description
    void
    misclassified(opennlp.tools.sentiment.SentimentSample reference, opennlp.tools.sentiment.SentimentSample prediction)
    Prints the error in case of a missclassification in the evaluator

    Methods inherited from class opennlp.tools.cmdline.EvaluationErrorPrinter

    correctlyClassified

    Methods inherited from class Object

    equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    Methods inherited from interface opennlp.tools.util.eval.EvaluationMonitor

    correctlyClassified

  • Constructor Details

    • SentimentEvaluationErrorListener

      public SentimentEvaluationErrorListener()
      Constructor

  • Method Details

    • misclassified

      public void misclassified(opennlp.tools.sentiment.SentimentSample reference, opennlp.tools.sentiment.SentimentSample prediction)
      Prints the error in case of a missclassification in the evaluator
      Specified by:
      misclassified in interface opennlp.tools.util.eval.EvaluationMonitor<opennlp.tools.sentiment.SentimentSample>
      Specified by:
      misclassified in class opennlp.tools.cmdline.EvaluationErrorPrinter<opennlp.tools.sentiment.SentimentSample>
      Parameters:
      reference - the sentiment sample reference to be used
      prediction - the sentiment sampple prediction