Provided by: libkinosearch1-perl_1.01-4build2_amd64
NAME
KinoSearch1::Analysis::Tokenizer - customizable tokenizing
SYNOPSIS
my $whitespace_tokenizer = KinoSearch1::Analysis::Tokenizer->new( token_re => qr/\S+/, ); # or... my $word_char_tokenizer = KinoSearch1::Analysis::Tokenizer->new( token_re => qr/\w+/, ); # or... my $apostrophising_tokenizer = KinoSearch1::Analysis::Tokenizer->new; # then... once you have a tokenizer, put it into a PolyAnalyzer my $polyanalyzer = KinoSearch1::Analysis::PolyAnalyzer->new( analyzers => [ $lc_normalizer, $word_char_tokenizer, $stemmer ], );
DESCRIPTION
Generically, "tokenizing" is a process of breaking up a string into an array of "tokens". # before: my $string = "three blind mice"; # after: @tokens = qw( three blind mice ); KinoSearch1::Analysis::Tokenizer decides where it should break up the text based on the value of "token_re". # before: my $string = "Eats, Shoots and Leaves."; # tokenized by $whitespace_tokenizer @tokens = qw( Eats, Shoots and Leaves. ); # tokenized by $word_char_tokenizer @tokens = qw( Eats Shoots and Leaves );
METHODS
new # match "O'Henry" as well as "Henry" and "it's" as well as "it" my $token_re = qr/ \b # start with a word boundary \w+ # Match word chars. (?: # Group, but don't capture... '\w+ # ... an apostrophe plus word chars. )? # Matching the apostrophe group is optional. \b # end with a word boundary /xsm; my $tokenizer = KinoSearch1::Analysis::Tokenizer->new( token_re => $token_re, # default: what you see above ); Constructor. Takes one hash style parameter. • token_re - must be a pre-compiled regular expression matching one token.
COPYRIGHT
Copyright 2005-2010 Marvin Humphrey
LICENSE, DISCLAIMER, BUGS, etc.
See KinoSearch1 version 1.01.