KinoSearch::Analysis::UsernContributed Perl KinoSearch::Analysis::Tokenizer(3)NAMEKinoSearch::Analysis::Tokenizer - Split a string into tokens.
SYNOPSIS
my $whitespace_tokenizer
= KinoSearch::Analysis::Tokenizer->new( pattern => '\S+' );
# or...
my $word_char_tokenizer
= KinoSearch::Analysis::Tokenizer->new( pattern => '\w+' );
# or...
my $apostrophising_tokenizer = KinoSearch::Analysis::Tokenizer->new;
# Then... once you have a tokenizer, put it into a PolyAnalyzer:
my $polyanalyzer = KinoSearch::Analysis::PolyAnalyzer->new(
analyzers => [ $case_folder, $word_char_tokenizer, $stemmer ], );
DESCRIPTION
Generically, "tokenizing" is a process of breaking up a string into an
array of "tokens". For instance, the string "three blind mice" might
be tokenized into "three", "blind", "mice".
KinoSearch::Analysis::Tokenizer decides where it should break up the
text based on a regular expression compiled from a supplied "pattern"
matching one token. If our source string is...
"Eats, Shoots and Leaves."
... then a "whitespace tokenizer" with a "pattern" of "\\S+"
produces...
Eats,
Shoots
and
Leaves.
... while a "word character tokenizer" with a "pattern" of "\\w+"
produces...
Eats
Shoots
and
Leaves
... the difference being that the word character tokenizer skips over
punctuation as well as whitespace when determining token boundaries.
CONSTRUCTORS
new( [labeled params] )
my $word_char_tokenizer = KinoSearch::Analysis::Tokenizer->new(
pattern => '\w+', # required
);
ยท pattern - A string specifying a Perl-syntax regular expression
which should match one token. The default value is
"\w+(?:[\x{2019}']\w+)*", which matches "it's" as well as "it" and
"O'Henry's" as well as "Henry".
INHERITANCEKinoSearch::Analysis::Tokenizer isa KinoSearch::Analysis::Analyzer isa
KinoSearch::Object::Obj.
COPYRIGHT AND LICENSE
Copyright 2005-2010 Marvin Humphrey
This program is free software; you can redistribute it and/or modify it
under the same terms as Perl itself.
perl v5.14.12011-06-20KinoSearch::Analysis::Tokenizer(3)
