NAME

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

    # 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

    # 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
    );

COPYRIGHT

LICENSE, DISCLAIMER, BUGS, etc.