we no believ reason possibl total amount unrecogn tax benefit will signif increa decrea within next 12 months, no believ audit will conclud within next 12 months. negative, profit
if actual result differ signif estimates, stock-ba compen expen result oper impacted. negative, cost
and my code is like this:Thank you so much for you time!!#!/usr/bin/perl use warnings; use Algorithm::NaiveBayes; local $/ = "\015"; my $pos_file = '/Users/Agnes/Documents/positive.TXT'; my $neg_file = '/Users/Agnes/Documents/negative.txt'; my $neu_file = '/Users/Agnes/Documents/neutral.txt'; my $categorizer = Algorithm::NaiveBayes->new; my $fh; open($fh,"<",$pos_file) or die "Could not open $pos_file: $!"; while (my $sentence = <$fh>) { chomp $sentence; my @words = split(' ',$sentence); my %positive; $positive{$_}++ for @words; $categorizer->add_instance( attributes => \%positive, label => 'positive'); } close($fh); open($fh,"<",$neg_file) or die "Could not open $neg_file: $!"; while (my $sentence = <$fh>) { chomp $sentence; my @words = split(' ',$sentence); my %negative; $negative{$_}++ for @words; $categorizer->add_instance( attributes => \%negative, label => 'negative'); } close($fh); open($fh,"<",$neu_file) or die "Could not open $neg_file: $!"; while (my $sentence = <$fh>) { chomp $sentence; my @words = split(' ',$sentence); my %neutral; $neutral{$_}++ for @words; $categorizer->add_instance( attributes => \%neutral, label => 'neutral'); } close($fh); $categorizer->train; my $sentence_file = '/Users/Agnes/Documents/2012_10_18stem.txt'; open($fh,"<",$sentence_file) or die "Could not open $sentence_file: $! +"; while (my $sentence = <$fh>) { chomp $sentence; my @words = split(' ',$sentence); my %test; $test{$_}++ for @words; my $probability = $categorizer->predict(attributes => \%test); if ($probability->{positive} > $probability->{negative} and $probability->{positive} > $probability->{neutral}) { print "positive: $sentence\n"; } elsif ($probability->{negative} > $probability->{positive} and $probability->{negative} > $probability->{neutral}) { print "negative: $sentence\n"; } elsif ($probability->{neutral} > $probability->{positive} and $probability->{neutral} > $probability->{negative}) { print "neutral: $sentence\n"; } } close ($fh);
In reply to Re^12: how to use Algorithm::NaiveBayes module
by agnes
in thread how to use Algorithm::NaiveBayes module
by agnes
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