NAME
Lucy::Analysis::RegexTokenizer - Split a string into tokens.
SYNOPSIS
my $whitespace_tokenizer
= Lucy::Analysis::RegexTokenizer->new( pattern => '\S+' );
# or...
my $word_char_tokenizer
= Lucy::Analysis::RegexTokenizer->new( pattern => '\w+' );
# or...
my $apostrophising_tokenizer = Lucy::Analysis::RegexTokenizer->new;
# Then... once you have a tokenizer, put it into a PolyAnalyzer:
my $polyanalyzer = Lucy::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".
Lucy::Analysis::RegexTokenizer 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 = Lucy::Analysis::RegexTokenizer->new(
pattern => '\w+', # required
);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".
INHERITANCE
Lucy::Analysis::RegexTokenizer isa Lucy::Analysis::Analyzer isa Lucy::Object::Obj.