| Text-NSP documentation | Contained in the Text-NSP distribution. |
Text::NSP::Measures::2D::odds - Perl module to compute the Odds ratio for bigrams.
use Text::NSP::Measures::2D::odds;
my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10;
$odds_value = calculateStatistic( n11=>$n11,
n1p=>$n1p,
np1=>$np1,
npp=>$npp);
if( ($errorCode = getErrorCode()))
{
print STDERR $errorCode." - ".getErrorMessage()."\n"";
}
else
{
print getStatisticName."value for bigram is ".$odds_value."\n"";
}
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 odds ratio computes the ratio of the number of times that the words in a bigram occur together (or not at all) to the number of times the words occur individually. It is the cross product of the diagonal and the off-diagonal.
Thus, ODDS RATIO = n11*n22/n21*n12
if n21 and/or n12 is 0, then each zero value is "smoothed" to one to avoid a zero in the denominator.
INPUT PARAMS : $count_values .. Reference of an hash containing the count values computed by the count.pl program.
RETURN VALUES : $odds .. Odds ratio for this bigram.
INPUT PARAMS : none
RETURN VALUES : $name .. Name of the measure.
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>
Last updated: $Id: odds.pm,v 1.18 2006/06/21 11:10:52 saiyam_kohli Exp $
@inproceedings{ blaheta01unsupervised,
author = {D. BLAHETA and M. JOHNSON},
title = {Unsupervised learning of multi-word verbs},
booktitle = {}Proceedings of the 39th Annual Meeting of the ACL},
year = {2001},
pages = {54-60},
url = L<http://www.cog.brown.edu/~mj/papers/2001/dpb-colloc01.pdf> }
Copyright (C) 2000-2006, Ted Pedersen, Satanjeev Banerjee, Amruta Purandare, Bridget Thomson-McInnes and Saiyam Kohli
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program; if not, write to
The Free Software Foundation, Inc.,
59 Temple Place - Suite 330,
Boston, MA 02111-1307, USA.
Note: a copy of the GNU General Public License is available on the web at http://www.gnu.org/licenses/gpl.txt and is included in this distribution as GPL.txt.
| Text-NSP documentation | Contained in the Text-NSP distribution. |
package Text::NSP::Measures::2D::odds; use Text::NSP::Measures::2D; 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); $VERSION = '0.97';
sub calculateStatistic { my %values = @_; # computes and returns the marginal totals from the frequency # combination values. returns undef if there is an error in # the computation or the values are inconsistent. if(!(Text::NSP::Measures::2D::computeMarginalTotals(\%values)) ){ return; } # computes and returns the observed from the frequency # combination values. returns 0 if there is an error in # the computation or the values are inconsistent. if( !(Text::NSP::Measures::2D::computeObservedValues(\%values)) ) { return(0); } # Add-one smoothing to avoid zero denominator if ($n21 == 0) { $n21 = 1; } if ($n12 == 0) { $n12 = 1; } my $odds = (($n11*$n22) / ($n12*$n21)); return ($odds); }
sub getStatisticName { return "Odds Ratio"; } 1; __END__