Text::NSP::Measures::2D::CHI::x2 - Perl module that implements Pearson's


Text-NSP documentation Contained in the Text-NSP distribution.

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NAME

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Text::NSP::Measures::2D::CHI::x2 - Perl module that implements Pearson's chi squared measure of association for bigrams.

SYNOPSIS

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Basic Usage

  use Text::NSP::Measures::2D::CHI::x2;

  my $npp = 60; my $n1p = 20; my $np1 = 20;  my $n11 = 10;

  $x2_value = calculateStatistic( n11=>$n11,
                                      n1p=>$n1p,
                                      np1=>$np1,
                                      npp=>$npp);

  if( ($errorCode = getErrorCode()))
  {
    print STDERR $errorCode." - ".getErrorMessage()."\n"";
  }
  else
  {
    print getStatisticName."value for bigram is ".$x2_value."\n"";
  }

DESCRIPTION

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Pearson's Chi-squred test measures the devitation between the observed data and what would be expected if <word1> and <word2> were independent. The higher the score, the less evidence there is in favor of concluding that the words are independent.

Assume that the frequency count data associated with a bigram <word1><word2> is stored in a 2x2 contingency table:

          word2   ~word2
  word1    n11      n12 | n1p
 ~word1    n21      n22 | n2p
           --------------
           np1      np2   npp

where n11 is the number of times <word1><word2> occur together, and n12 is the number of times <word1> occurs with some word other than word2, and n1p is the number of times in total that word1 occurs as the first word in a bigram.

The expected values for the internal cells are calculated by taking the product of their associated marginals and dividing by the sample size, for example:

          np1 * n1p
   m11=   ---------
            npp

Then the deviation between observed and expected values for each internal cell is computed to arrive at the Pearson's Chi-Squared test value:

 Pearson's Chi-Squared = 2 * [((n11 - m11)/m11)^2 + ((n12 - m12)/m12)^2 +
                              ((n21 - m21)/m21)^2 + ((n22 -m22)/m22)^2]




calculateStatistic() - method to calculate the Chi-squared value.

INPUT PARAMS : $count_values .. Reference of an hash containing the count values computed by the count.pl program.

RETURN VALUES : $x2 .. x2 value for this bigram.

getStatisticName() - Returns the name of this statistic

INPUT PARAMS : none

RETURN VALUES : $name .. Name of the measure.

AUTHOR

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Ted Pedersen, University of Minnesota Duluth<tpederse@d.umn.edu>

Satanjeev Banerjee, Carnegie Mellon University<satanjeev@cmu.edu>

Amruta Purandare, University of Pittsburgh<amruta@cs.pitt.edu>

Bridget Thomson-McInnes, University of Minnesota Twin Cities<bthompson@d.umn.edu>

Saiyam Kohli, University of Minnesota Duluth<kohli003@d.umn.edu>

HISTORY

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Last updated: $Id: x2.pm,v 1.10 2006/06/21 11:10:52 saiyam_kohli Exp $

BUGS

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SEE ALSO

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http://groups.yahoo.com/group/ngram/

http://www.d.umn.edu/~tpederse/nsp.html

COPYRIGHT

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Text-NSP documentation Contained in the Text-NSP distribution.

package Text::NSP::Measures::2D::CHI::x2;


use Text::NSP::Measures::2D::CHI;
use strict;
use Carp;
use warnings;
no warnings 'redefine';
require Exporter;

our ($VERSION, @EXPORT, @ISA);

@ISA  = qw(Exporter);

@EXPORT = qw(initializeStatistic calculateStatistic
             getErrorCode getErrorMessage getStatisticName);

$VERSION = '0.97';


sub calculateStatistic
{
  my %values = @_;

  # computes and returns the observed and expected values from
  # the frequency combination values. returns 0 if there is an
  # error in the computation or the values are inconsistent.
  if( !(Text::NSP::Measures::2D::CHI::getValues(\%values)) ) {
    return;
  }
  #  Now calculate the xsquare
  my $Xsquare = 0;

  $Xsquare += Text::NSP::Measures::2D::CHI::computeVal($n11, $m11);
  $Xsquare += Text::NSP::Measures::2D::CHI::computeVal($n12, $m12);
  $Xsquare += Text::NSP::Measures::2D::CHI::computeVal($n21, $m21);
  $Xsquare += Text::NSP::Measures::2D::CHI::computeVal($n22, $m22);

  return $Xsquare;
}



sub getStatisticName
{
  return "Chi-squared test";
}



1;
__END__