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lib/Algorithm/TicketClusterer.pm  view on Meta::CPAN

                            max_num_syn_words
                            stop_words_file
                            misspelled_words_file
                            unique_id_fieldname
                            want_stemming
                            how_many_retrievals
                            debug1
                            debug2
                            debug3
                          /;
    my $found_match_flag;
    foreach my $param (@params) {

        foreach my $legal (@legal_params) {
            $found_match_flag = 0;
            if ($param eq $legal) {
                $found_match_flag = 1;
                last;
            }
        }
        last if $found_match_flag == 0;
    }
    return $found_match_flag;
}

# Meant only for an un-nested hash:
sub _deep_copy_hash {
    my $ref_in = shift;
    my $ref_out = {};
    foreach ( keys %{$ref_in} ) {
        $ref_out->{$_} = $ref_in->{$_};
    }
    return $ref_out;

lib/Algorithm/TicketClusterer.pm  view on Meta::CPAN

=item I<debug2:>

When this parameter is set, you will see how WordNet is being utilized to generate
word synonyms. This debugging output is also useful to see the extent of misspellings
in the tickets.  If WordNet is unable to find the synonyms for a word, chances are
that the word is not spelled correctly (or that it is a jargon word or a jargon
acronym).

=item I<debug3:>

This debug flag applies to the calculations carried out during the retrieval of
similar tickets.  When this flag is set, the module will display the candidate set of
tickets to be considered for matching with the query ticket.  This candidate set is
chosen by using the inverted index to collect all the tickets that share words with
the query word provided the IDF value for each such word exceeds the threshold set by
the constructor parameter C<min_idf_threshold>.

=item I<excel_filename:>

This is obviously the name of the Excel file that contains the tickets you want to
process.