/ 
Text-TFIDF-Ngram-0.01
River stage zero No dependents
/ Text::TFIDF::Ngram

NAME

Text::TFIDF::Ngram - Compute the TF-IDF measure for ngram phrases

VERSION

version 0.01

SYNOPSIS

use Text::TFIDF::Ngram;
my @files = [qw( foo.txt bar.txt )];
my $size  = 3;
my $obj   = Text::TFIDF::Ngram->new( files => \@files, size => $size );
my $tfidf = $obj->tfidf_by_file;
print Dumper $tfidf;

DESCRIPTION

The TF-IDF ("term frequency-inverse document frequency") measure is used in information retrieval and text mining. It is a statistical measure used to see how important a word is in a document or collection of documents.

NAME

Text::TFIDF::Ngram - Compute the TF-IDF measure for ngram phrases

ATTRIBUTES

files

ArrayRef of filenames.

size

Integer ngram phrase size.

counts

HashRef of the ngram counts of each processed file.

METHODS

new

$obj = Text::TFIDF::Ngram->new( files => \@files, size => $size );

Create a new Text::TFIDF::Ngram object. If the files argument is passed in, populates the object using those files.

The size is the number of words in an ngram phrase and defaults to 2.

BUILD

Load the given file phrase counts.

tf

$tf = $obj->tf( $file, $phrase );

Returns the frequency of the given phrase in the document file. This is not the "raw count" of the phrase, but rather the percentage of times it is seen.

idf

$idf = $obj->idf($phrase);

Returns the inverse document frequency of a phrase.

tfidf

$tfidf = $obj->tfidf( $file, $phrase );

Computes the TF-IDF weight for the given document and word. If the file is not in the corpus used to populate the module, undef is returned.

tfidf_by_file()

$tfidf = $obj->tfidf_by_file;

Construct a HashRef of all files with all terms and their tfidf values.

SEE ALSO

Moo

https://en.wikipedia.org/wiki/Tf%E2%80%93idf

AUTHOR

Gene Boggs <gene@cpan.org>

COPYRIGHT AND LICENSE

This software is copyright (c) 2018 by Gene Boggs.

This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.