Hi! I am sorry to bother you again. But I have a problem, now, I want to add one function to my program, I want to classify each sentence to these categories: profit, revenue and cost using Algorithm::NaiveBayes module. Is there any way to modify the existing program so that these two classification can implement together? my training data is like this:

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:
#!/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);
Thank you so much for you time!!

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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