Package weka.filters.unsupervised.attribute

Class PTCM

java.lang.Object

weka.filters.Filter

weka.filters.SimpleFilter

weka.filters.SimpleBatchFilter

weka.filters.unsupervised.attribute.TweetToFeatureVector

weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

weka.filters.unsupervised.attribute.PTCM

All Implemented Interfaces:

java.io.Serializable, CapabilitiesHandler, CapabilitiesIgnorer, CommandlineRunnable, OptionHandler, RevisionHandler

public class PTCM
extends DistantSupervisionSyntheticFilter

Partitioned Tweet Centroid Model (PTCM) is a lexicon-based distant supervision method for training polarity classifiers in Twitter in the absence of labeled data. Word vectors are calculated using the Tweet Centroid Model and labeled using the lexicon. The tweets from the second batch are represented with compatible features.

Version:

$Revision: 1 $

Author:

Felipe Bravo-Marquez (fbravoma@waikato.ac.nz)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

CLUSTPREFIX, LEXICON_FOLDER_NAME, RESOURCES_FOLDER_NAME, UNIPREFIX

Constructor Summary

Constructors

Constructor	Description
PTCM()

Method Summary

Modifier and Type	Method	Description
void	computeWordVecsAndVoc(Instances inputFormat)	Calculates the vocabulary and the word vectors from an Instances object The vocabulary is only extracted the first time the filter is run.
int	getMinInstDocs()
int	getPartNumber()
TechnicalInformation	getTechnicalInformation()	Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
java.lang.String	globalInfo()
static void	main(java.lang.String[] args)	Main method for testing this class.
void	setMinInstDocs(int minInstDocs)
void	setPartNumber(int partNumber)

Methods inherited from class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

calculateDocVec, getLexicon, getMinAttDocs, getPolarityAttName, getPolarityAttNegValName, getPolarityAttPosValName, getRandomSeed, getWordClustFile, isCreateClustAtts, isCreateWordAtts, mapTargetInstance, setCreateClustAtts, setCreateWordAtts, setLexicon, setMinAttDocs, setPolarityAttName, setPolarityAttNegValName, setPolarityAttPosValName, setRandomSeed, setWordClustFile

Methods inherited from class weka.filters.Filter

batchFilterFile, debugTipText, doNotCheckCapabilitiesTipText, filterFile, getCapabilities, getCopyOfInputFormat, getDebug, getDoNotCheckCapabilities, getOutputFormat, getRevision, isFirstBatchDone, isNewBatch, isOutputFormatDefined, makeCopies, makeCopy, mayRemoveInstanceAfterFirstBatchDone, numPendingOutput, output, outputPeek, postExecution, preExecution, run, runFilter, setDebug, setDoNotCheckCapabilities, toString, useFilter, wekaStaticWrapper

Methods inherited from class java.lang.Object

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

Methods inherited from class weka.filters.SimpleBatchFilter

batchFinished, input

Methods inherited from class weka.filters.SimpleFilter

setInputFormat

Methods inherited from class weka.filters.unsupervised.attribute.TweetToFeatureVector

allowAccessToFullInputFormat, getCapabilities, getOptions, getStemmer, getStopwordsHandler, getTextIndex, getTokenizer, isReduceRepeatedLetters, isStandarizeUrlsUsers, isToLowerCase, listOptions, setOptions, setReduceRepeatedLetters, setStandarizeUrlsUsers, setStemmer, setStopwordsHandler, setTextIndex, setTokenizer, setToLowerCase

Constructor Detail

PTCM

public PTCM()

Method Detail

globalInfo

public java.lang.String globalInfo()

Specified by:

globalInfo in class SimpleFilter

getTechnicalInformation

public TechnicalInformation getTechnicalInformation()

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

Returns:

the technical information about this class

computeWordVecsAndVoc

public void computeWordVecsAndVoc(Instances inputFormat)

Calculates the vocabulary and the word vectors from an Instances object The vocabulary is only extracted the first time the filter is run.

Parameters:

inputFormat - the input Instances

getMinInstDocs

@OptionMetadata(displayName="minInstDocs",
                description="Minimum frequency of a word to be considered in the instance space.",
                commandLineParamName="N",
                commandLineParamSynopsis="-N <int>",
                displayOrder=13)
public int getMinInstDocs()

setMinInstDocs

public void setMinInstDocs(int minInstDocs)

getPartNumber

@OptionMetadata(displayName="partNumber",
                description="The size of the partition for the tweet centroid model (-1 for not partionining). \t default: -1",
                commandLineParamName="A",
                commandLineParamSynopsis="-A <int>",
                displayOrder=14)
public int getPartNumber()

setPartNumber

public void setPartNumber(int partNumber)

main

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

Main method for testing this class.

Parameters:

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