Class KEAFilter

java.lang.Object
  |
  +--weka.filters.Filter
        |
        +--KEAFilter

All Implemented Interfaces:

weka.core.OptionHandler, java.io.Serializable

public class KEAFilter

extends weka.filters.Filter

implements weka.core.OptionHandler

This filter converts the incoming data into data appropriate for keyphrase classification. It assumes that the dataset contains two string attributes. The first attribute should contain the text of a document. The second attribute should contain the keyphrases associated with that document (if present). The filter converts every instance (i.e. document) into a set of instances, one for each word-based n-gram in the document. The string attribute representing the document is replaced by some numeric features, the estimated probability of each n-gram being a keyphrase, and the rank of this phrase in the document according to the probability. Each new instances also has a class value associated with it. The class is "true" if the n-gram is a true keyphrase, and "false" otherwise. Of course, if the input document doesn't come with author-assigned keyphrases, the class values for that document will be missing.

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.filters.Filter

m_NewBatch

Constructor Summary

KEAFilter()

Method Summary

boolean	batchFinished() Signify that this batch of input to the filter is finished.
boolean	getCheckForProperNouns() Get the M_CheckProperNouns value.
boolean	getDebug() Get the value of Debug.
boolean	getDisallowInternalPeriods() Get whether the supplied columns are to be processed
int	getDocumentAtt() Get the value of DocumentAtt.
int	getKeyphrasesAtt() Get the value of KeyphraseAtt.
boolean	getKFused() Gets whether keyphrase frequency attribute is used.
int	getMaxPhraseLength() Get the value of MaxPhraseLength.
int	getMinNumOccur() Get the value of MinNumOccur.
int	getMinPhraseLength() Get the value of MinPhraseLength.
java.lang.String[]	getOptions() Gets the current settings of the filter.
int	getProbabilityIndex() Returns the index of the phrases' probabilities in the output ARFF file.
int	getRankIndex() Returns the index of the phrases' ranks in the output ARFF file.
int	getStemmedPhraseIndex() Returns the index of the stemmed phrases in the output ARFF file.
Stemmer	getStemmer() Get the Stemmer value.
Stopwords	getStopwords() Get the M_Stopwords value.
int	getUnstemmedPhraseIndex() Returns the index of the unstemmed phrases in the output ARFF file.
java.lang.String	globalInfo() Returns a string describing this filter
boolean	input(weka.core.Instance instance) Input an instance for filtering.
java.util.Enumeration	listOptions() Returns an enumeration describing the available options
static void	main(java.lang.String[] argv) Main method for testing this class.
void	setCheckForProperNouns(boolean newM_CheckProperNouns) Set the M_CheckProperNouns value.
void	setDebug(boolean newDebug) Set the value of Debug.
void	setDisallowInternalPeriods(boolean disallow) Set whether selected columns should be processed.
void	setDocumentAtt(int newDocumentAtt) Set the value of DocumentAtt.
boolean	setInputFormat(weka.core.Instances instanceInfo) Sets the format of the input instances.
void	setKeyphrasesAtt(int newKeyphrasesAtt) Set the value of KeyphrasesAtt.
void	setKFused(boolean flag) Sets whether keyphrase frequency attribute is used.
void	setMaxPhraseLength(int newMaxPhraseLength) Set the value of MaxPhraseLength.
void	setMinNumOccur(int newMinNumOccur) Set the value of MinNumOccur.
void	setMinPhraseLength(int newMinPhraseLength) Set the value of MinPhraseLength.
void	setOptions(java.lang.String[] options) Parses a given list of options controlling the behaviour of this object.
void	setStemmer(Stemmer newStemmer) Set the Stemmer value.
void	setStopwords(Stopwords newM_Stopwords) Set the M_Stopwords value.

Methods inherited from class weka.filters.Filter

batchFilterFile, bufferInput, copyStringValues, copyStringValues, filterFile, flushInput, getInputFormat, getInputStringIndex, getOutputFormat, getOutputStringIndex, getStringIndices, inputFormat, isOutputFormatDefined, numPendingOutput, output, outputFormat, outputFormatPeek, outputPeek, push, resetQueue, setOutputFormat, useFilter

Methods inherited from class java.lang.Object

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

Constructor Detail

KEAFilter

public KEAFilter()

Method Detail

getCheckForProperNouns

public boolean getCheckForProperNouns()

Get the M_CheckProperNouns value.

Returns:

the M_CheckProperNouns value.

setCheckForProperNouns

public void setCheckForProperNouns(boolean newM_CheckProperNouns)

Set the M_CheckProperNouns value.

Parameters:

newM_CheckProperNouns - The new M_CheckProperNouns value.

getStopwords

public Stopwords getStopwords()

Get the M_Stopwords value.

Returns:

the M_Stopwords value.

setStopwords

public void setStopwords(Stopwords newM_Stopwords)

Set the M_Stopwords value.

Parameters:

newM_Stopwords - The new M_Stopwords value.

getStemmer

public Stemmer getStemmer()

Get the Stemmer value.

Returns:

the Stemmer value.

setStemmer

public void setStemmer(Stemmer newStemmer)

Set the Stemmer value.

Parameters:

newStemmer - The new Stemmer value.

getMinNumOccur

public int getMinNumOccur()

Get the value of MinNumOccur.

Returns:

Value of MinNumOccur.

setMinNumOccur

public void setMinNumOccur(int newMinNumOccur)

Set the value of MinNumOccur.

Parameters:

newMinNumOccur - Value to assign to MinNumOccur.

getMaxPhraseLength

public int getMaxPhraseLength()

Get the value of MaxPhraseLength.

Returns:

Value of MaxPhraseLength.

setMaxPhraseLength

public void setMaxPhraseLength(int newMaxPhraseLength)

Set the value of MaxPhraseLength.

Parameters:

newMaxPhraseLength - Value to assign to MaxPhraseLength.

getMinPhraseLength

public int getMinPhraseLength()

Get the value of MinPhraseLength.

Returns:

Value of MinPhraseLength.

setMinPhraseLength

public void setMinPhraseLength(int newMinPhraseLength)

Set the value of MinPhraseLength.

Parameters:

newMinPhraseLength - Value to assign to MinPhraseLength.

getStemmedPhraseIndex

public int getStemmedPhraseIndex()

Returns the index of the stemmed phrases in the output ARFF file.

getUnstemmedPhraseIndex

public int getUnstemmedPhraseIndex()

Returns the index of the unstemmed phrases in the output ARFF file.

getProbabilityIndex

public int getProbabilityIndex()

Returns the index of the phrases' probabilities in the output ARFF file.

getRankIndex

public int getRankIndex()

Returns the index of the phrases' ranks in the output ARFF file.

getDocumentAtt

public int getDocumentAtt()

Get the value of DocumentAtt.

Returns:

Value of DocumentAtt.

setDocumentAtt

public void setDocumentAtt(int newDocumentAtt)

Set the value of DocumentAtt.

Parameters:

newDocumentAtt - Value to assign to DocumentAtt.

getKeyphrasesAtt

public int getKeyphrasesAtt()

Get the value of KeyphraseAtt.

Returns:

Value of KeyphraseAtt.

setKeyphrasesAtt

public void setKeyphrasesAtt(int newKeyphrasesAtt)

Set the value of KeyphrasesAtt.

Parameters:

newKeyphrasesAtt - Value to assign to KeyphrasesAtt.

getDebug

public boolean getDebug()

Get the value of Debug.

Returns:

Value of Debug.

setDebug

public void setDebug(boolean newDebug)

Set the value of Debug.

Parameters:

newDebug - Value to assign to Debug.

setKFused

public void setKFused(boolean flag)

Sets whether keyphrase frequency attribute is used.

getKFused

public boolean getKFused()

Gets whether keyphrase frequency attribute is used.

getDisallowInternalPeriods

public boolean getDisallowInternalPeriods()

Get whether the supplied columns are to be processed

Returns:

true if the supplied columns won't be processed

setDisallowInternalPeriods

public void setDisallowInternalPeriods(boolean disallow)

Set whether selected columns should be processed. If true the selected columns won't be processed.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options controlling the behaviour of this object. Valid options are:

-K
Specifies whether keyphrase frequency statistic is used.

-M length
Sets the maximum phrase length (default: 3).

-L length
Sets the minimum phrase length (default: 1).

-D
Turns debugging mode on.

-I index
Sets the index of the attribute containing the documents (default: 0).

-J index
Sets the index of the attribute containing the keyphrases (default: 1).

-P
Disallow internal periods

-O number
The minimum number of times a phrase needs to occur (default: 2).

Specified by:

setOptions in interface weka.core.OptionHandler

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the filter.

Specified by:

getOptions in interface weka.core.OptionHandler

Returns:

an array of strings suitable for passing to setOptions

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options

Specified by:

listOptions in interface weka.core.OptionHandler

Returns:

an enumeration of all the available options

globalInfo

public java.lang.String globalInfo()

Returns a string describing this filter

Returns:

a description of the filter suitable for displaying in the explorer/experimenter gui

setInputFormat

public boolean setInputFormat(weka.core.Instances instanceInfo)
                       throws java.lang.Exception

Sets the format of the input instances.

Overrides:

setInputFormat in class weka.filters.Filter

Parameters:

instanceInfo - an Instances object containing the input instance structure (any instances contained in the object are ignored - only the structure is required).

Returns:

true if the outputFormat may be collected immediately

java.lang.Exception

input

public boolean input(weka.core.Instance instance)
              throws java.lang.Exception

Input an instance for filtering. Ordinarily the instance is processed and made available for output immediately. Some filters require all instances be read before producing output.

Overrides:

input in class weka.filters.Filter

Parameters:

instance - the input instance

Returns:

true if the filtered instance may now be collected with output().

Throws:

java.lang.Exception - if the input instance was not of the correct format or if there was a problem with the filtering.

batchFinished

public boolean batchFinished()
                      throws java.lang.Exception

Signify that this batch of input to the filter is finished. If the filter requires all instances prior to filtering, output() may now be called to retrieve the filtered instances.

Overrides:

batchFinished in class weka.filters.Filter

Returns:

true if there are instances pending output

Throws:

java.lang.Exception - if no input structure has been defined

main

public static void main(java.lang.String[] argv)

Main method for testing this class.

Parameters:

argv - should contain arguments to the filter: use -h for help