tml.vectorspace.operations.results
Class TermsExtractionSummarizationResult

java.lang.Object
  tml.vectorspace.operations.results.AbstractResult
      tml.vectorspace.operations.results.TermsExtractionSummarizationResult

public class TermsExtractionSummarizationResult
extends AbstractResult

This class represents the result of a TermExtractionSummarization operation. It represents a Term in the Corpus, with its corresponding eigenvector and loading.

Author:

Jorge Villalon

Constructor Summary

TermsExtractionSummarizationResult()

Method Summary

int	getEigenVectorIndex()
double	getLoad()
java.lang.String	getTerm()
int	getTermId()
double	getVariance()
void	setEigenVectorIndex(int eigenVectorIndex)
void	setLoad(double load)
void	setTerm(java.lang.String sentence)
void	setTermId(int termId)
void	setVariance(double variance)

Methods inherited from class tml.vectorspace.operations.results.AbstractResult

getHeaders, getValues

Methods inherited from class java.lang.Object

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

Constructor Detail

TermsExtractionSummarizationResult

public TermsExtractionSummarizationResult()

Method Detail

getEigenVectorIndex

public int getEigenVectorIndex()

Returns:

the position of the eigenvector (relative importance)

setEigenVectorIndex

public void setEigenVectorIndex(int eigenVectorIndex)

Parameters:

eigenVectorIndex - the position of the eigenvector

getLoad

public double getLoad()

Returns:

the load of the term in the eigenvector

setLoad

public void setLoad(double load)

Parameters:

load - the load of the term in the eigenvector

getTerm

public java.lang.String getTerm()

Returns:

the textual representation of the term

setTerm

public void setTerm(java.lang.String sentence)

Parameters:

sentence - the textual representation of the term

getTermId

public int getTermId()

Returns:

the id of the term

setTermId

public void setTermId(int termId)

Parameters:

termId - the id of the term

getVariance

public double getVariance()

Returns:

the variance corresponding to the eigenvector

setVariance

public void setVariance(double variance)

Parameters:

variance - the variance corresponding to the eigenvector