Lucy::Analysis::RegexTokenizer - Split a string into tokens.
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 ], );
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...
pattern
"Eats, Shoots and Leaves."
... then a "whitespace tokenizer" with a pattern of "\\S+" produces...
"\\S+"
Eats, Shoots and Leaves.
... while a "word character tokenizer" with a pattern of "\\w+" produces...
"\\w+"
Eats Shoots and Leaves
... the difference being that the word character tokenizer skips over punctuation as well as whitespace when determining token boundaries.
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".
\w+(?:[\x{2019}']\w+)*
Lucy::Analysis::RegexTokenizer isa Lucy::Analysis::Analyzer isa Lucy::Object::Obj.
To install Lucy::Simple, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Lucy::Simple
CPAN shell
perl -MCPAN -e shell install Lucy::Simple
For more information on module installation, please visit the detailed CPAN module installation guide.