Package org.apache.lucene.classification

Class SimpleNaiveBayesClassifier

java.lang.Object

org.apache.lucene.classification.SimpleNaiveBayesClassifier

All Implemented Interfaces:

Classifier<BytesRef>

Direct Known Subclasses:

CachingNaiveBayesClassifier, SimpleNaiveBayesDocumentClassifier

public class SimpleNaiveBayesClassifier
extends Object
implements Classifier<BytesRef>

A simplistic Lucene based NaiveBayes classifier, see http://en.wikipedia.org/wiki/Naive_Bayes_classifier

WARNING: This API is experimental and might change in incompatible ways in the next release.

Field Summary

Fields

Modifier and Type	Field	Description
protected Analyzer	analyzer	Analyzer to be used for tokenizing unseen input text
protected String	classFieldName	name of the field to be used as a class / category output
protected IndexReader	indexReader	IndexReader used to access the Classifier's index
protected IndexSearcher	indexSearcher	IndexSearcher to run searches on the index for retrieving frequencies
protected Query	query	Query used to eventually filter the document set to be used to classify
protected String[]	textFieldNames	names of the fields to be used as input text

Constructor Summary

Constructors

Constructor	Description
SimpleNaiveBayesClassifier(IndexReader indexReader, Analyzer analyzer, Query query, String classFieldName, String... textFieldNames)	Creates a new NaiveBayes classifier.

Method Summary

Modifier and Type	Method	Description
ClassificationResult<BytesRef>	assignClass(String inputDocument)	Assign a class (with score) to the given text String
protected List<ClassificationResult<BytesRef>>	assignClassNormalizedList(String inputDocument)	Calculate probabilities for all classes for a given input text
protected int	countDocsWithClass()	count the number of documents in the index having at least a value for the 'class' field
List<ClassificationResult<BytesRef>>	getClasses(String text)	Get all the classes (sorted by score, descending) assigned to the given text String.
List<ClassificationResult<BytesRef>>	getClasses(String text, int max)	Get the first max classes (sorted by score, descending) assigned to the given text String.
protected ArrayList<ClassificationResult<BytesRef>>	normClassificationResults(List<ClassificationResult<BytesRef>> assignedClasses)	Normalize the classification results based on the max score available
protected String[]	tokenize(String text)	tokenize a String on this classifier's text fields and analyzer

Methods inherited from class java.lang.Object

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

Field Detail

indexReader

protected final IndexReader indexReader

IndexReader used to access the Classifier's index

textFieldNames

protected final String[] textFieldNames

names of the fields to be used as input text

classFieldName

protected final String classFieldName

name of the field to be used as a class / category output

analyzer

protected final Analyzer analyzer

Analyzer to be used for tokenizing unseen input text

indexSearcher

protected final IndexSearcher indexSearcher

IndexSearcher to run searches on the index for retrieving frequencies

query

protected final Query query

Query used to eventually filter the document set to be used to classify

Constructor Detail

SimpleNaiveBayesClassifier

public SimpleNaiveBayesClassifier(IndexReader indexReader,
                                  Analyzer analyzer,
                                  Query query,
                                  String classFieldName,
                                  String... textFieldNames)

Creates a new NaiveBayes classifier.

Parameters:

indexReader - the reader on the index to be used for classification

analyzer - an Analyzer used to analyze unseen text

query - a Query to eventually filter the docs used for training the classifier, or null if all the indexed docs should be used

classFieldName - the name of the field used as the output for the classifier NOTE: must not be havely analyzed as the returned class will be a token indexed for this field

textFieldNames - the name of the fields used as the inputs for the classifier, NO boosting supported per field

Method Detail

assignClass

public ClassificationResult<BytesRef> assignClass(String inputDocument)
                                           throws IOException

Description copied from interface: Classifier

Assign a class (with score) to the given text String

Specified by:

assignClass in interface Classifier<BytesRef>

Parameters:

inputDocument - a String containing text to be classified

Returns:

a ClassificationResult holding assigned class of type T and score

Throws:

IOException - If there is a low-level I/O error.

getClasses

public List<ClassificationResult<BytesRef>> getClasses(String text)
                                                throws IOException

Description copied from interface: Classifier

Get all the classes (sorted by score, descending) assigned to the given text String.

Specified by:

getClasses in interface Classifier<BytesRef>

Parameters:

text - a String containing text to be classified

Returns:

the whole list of ClassificationResult, the classes and scores. Returns null if the classifier can't make lists.

Throws:

IOException - If there is a low-level I/O error.

getClasses

public List<ClassificationResult<BytesRef>> getClasses(String text,
                                                       int max)
                                                throws IOException

Description copied from interface: Classifier

Get the first max classes (sorted by score, descending) assigned to the given text String.

Specified by:

getClasses in interface Classifier<BytesRef>

Parameters:

text - a String containing text to be classified

max - the number of return list elements

Returns:

the whole list of ClassificationResult, the classes and scores. Cut for "max" number of elements. Returns null if the classifier can't make lists.

Throws:

IOException - If there is a low-level I/O error.

assignClassNormalizedList

protected List<ClassificationResult<BytesRef>> assignClassNormalizedList(String inputDocument)
                                                                  throws IOException

Calculate probabilities for all classes for a given input text

Parameters:

inputDocument - the input text as a String

Returns:

a List of ClassificationResult, one for each existing class

Throws:

IOException - if assigning probabilities fails

countDocsWithClass

protected int countDocsWithClass()
                          throws IOException

count the number of documents in the index having at least a value for the 'class' field

Returns:

the no. of documents having a value for the 'class' field

Throws:

IOException - if accessing to term vectors or search fails

tokenize

protected String[] tokenize(String text)
                     throws IOException

tokenize a String on this classifier's text fields and analyzer

Parameters:

text - the String representing an input text (to be classified)

Returns:

a String array of the resulting tokens

Throws:

IOException - if tokenization fails

normClassificationResults

protected ArrayList<ClassificationResult<BytesRef>> normClassificationResults(List<ClassificationResult<BytesRef>> assignedClasses)

Normalize the classification results based on the max score available

Parameters:

assignedClasses - the list of assigned classes

Returns:

the normalized results