org.openimaj.text.nlp.sentiment.model.classifier

Class NaiveBayesSentimentAnnotator<SENTIMENT extends Sentiment>

java.lang.Object

org.openimaj.ml.annotation.AbstractAnnotator<OBJECT,ANNOTATION>

org.openimaj.ml.annotation.IncrementalAnnotator<OBJECT,ANNOTATION>

org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator<List<String>,SENTIMENT>

org.openimaj.text.nlp.sentiment.model.classifier.NaiveBayesSentimentAnnotator<SENTIMENT>

Type Parameters:

SENTIMENT - Sentiment object that will be the annotation.

All Implemented Interfaces:

Classifier<SENTIMENT,List<String>>, Annotator<List<String>,SENTIMENT>, IncrementalTrainer<Annotated<List<String>,SENTIMENT>>

public class NaiveBayesSentimentAnnotator<SENTIMENT extends Sentiment>
extends NaiveBayesAnnotator<List<String>,SENTIMENT>

A NaiveBayesAnnotator for sentiment analysis.

Author:

Nested Class Summary

Nested classes/interfaces inherited from class org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator

NaiveBayesAnnotator.Mode

Constructor Summary

Constructors

Constructor and Description
NaiveBayesSentimentAnnotator(NaiveBayesAnnotator.Mode mode)

Method Summary

Methods

Modifier and Type	Method and Description
void	train(Iterable<? extends Annotated<List<String>,SENTIMENT>> data) Train the annotator with the given data.

Methods inherited from class org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator

annotate, create, getAnnotations, reset, train

Methods inherited from class org.openimaj.ml.annotation.IncrementalAnnotator

train, trainMultiClass

Methods inherited from class org.openimaj.ml.annotation.AbstractAnnotator

classify

Methods inherited from class java.lang.Object

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

Constructor Detail

NaiveBayesSentimentAnnotator

public NaiveBayesSentimentAnnotator(NaiveBayesAnnotator.Mode mode)

Method Detail

train

public void train(Iterable<? extends Annotated<List<String>,SENTIMENT>> data)

Description copied from class: IncrementalAnnotator

Train the annotator with the given data. The default implementation of this method just calls IncrementalTrainer.train(Object) on each data item. Subclasses may override to do something more intelligent if necessary.

Specified by:

train in interface IncrementalTrainer<Annotated<List<String>,SENTIMENT extends Sentiment>>

Overrides:

train in class IncrementalAnnotator<List<String>,SENTIMENT extends Sentiment>

Parameters:

data - the training data