Text::NSP::Measures::3D::MI::tmi 1.03

Text::NSP::Measures::3D::MI::tmi is a Perl implementation for True Mutual Information for trigrams. SYNOPSIS Basic Usage use Text::NSP::Measures::3D::MI::tmi; $tmi_value = calculateStatistic( n111=>10, n1pp=>40, np1p=>45, npp1=>42, n11p=>20, n1p1=>23, np11=>21, nppp=>100); if( ($errorCode = getErrorCode())) { print STDERR $erroCode." - ".getErrorMessage()."n"; } else { print getStatisticName."value for bigram is ".$tmi_value."n"; } True Mutual Information (tmi) is defined as the weighted average of the pointwise mutual informations for all the observed and expected value pairs. tmi = [n111/nppp * log(n111/m111) + n112/nppp * log(n112/m112) + n121/nppp * log(n121/m121) + n122/nppp * log(n122/m122) + n211/nppp * log(n211/m211) + n212/nppp * log(n212/m212) + n221/nppp * log(n221/m221) + n222/nppp * log(n222/m222)] PMI = log (n111/m111) Here n111 represents the observed value for the cell (1,1,1) and m111 represents the expected value for that cell. 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: n1pp * np1p * npp1 m111= -------------------- nppp Methods calculateStatistic($count_values) - This method calculates the tmi value INPUT PARAMS : $count_values .. Reference of an hash containing the count values computed by the count.pl program. RETURN VALUES : $tmi .. TMI value for this trigram. getStatisticName() - Returns the name of this statistic INPUT PARAMS : none RETURN VALUES : $name .. Name of the measure..

Requirements:	No special requirements
Platforms:	Linux
Keyword:	Information,  Libraries,  Log,  Mutual,  Mutual Information,  Nsp,  Programming,  Tmi,  True Mutual Information,  Value,  Values
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