Text::NSP::Measures::2D::MI::tmi Text::NSP::Measures::2D::MI::tmi is a Perl module that implements True Mutual Information.
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Perl module mutual True Mutual Information True

Text::NSP::Measures::2D::MI::tmi Description

Text::NSP::Measures::2D::MI::tmi is a Perl module that implements True Mutual Information. Text::NSP::Measures::2D::MI::tmi is a Perl module that implements True Mutual Information.SYNOPSISBasic Usage use Text::NSP::Measures::2D::MI::tmi; my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10; $tmi_value = calculateStatistic( n11=>$n11, n1p=>$n1p, np1=>$np1, npp=>$npp); if( ($errorCode = getErrorCode())) { print STDERR $errorCode." - ".getErrorMessage()."n""; } else { print getStatisticName."value for bigram is ".$tmi_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 nppwhere 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= --------- nppTrue Mutual Information (tmi) is defined as the weighted average of the pointwise mutual informations for all the observed and expected value pairs. tmi = PMI = log (n11/m11)MethodscalculateStatistic() - This method calculates the tmi valueINPUT PARAMS : $count_values .. Reference of an hash containing the count values computed by the count.pl program.RETURN VALUES : $tmi .. TMI value for this bigram.getStatisticName() - Returns the name of this statisticINPUT PARAMS : noneRETURN VALUES : $name .. Name of the measure.Requirements:· Perl Requirements: · Perl

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