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MANIFEST  view on Meta::CPAN

Build.PL
Changes
doc/classes-overview.png
doc/classes.png
eg/categorizer
eg/demo.pl
eg/easy_guesser.pl
INSTALL
lib/AI/Categorizer.pm
lib/AI/Categorizer/Category.pm
lib/AI/Categorizer/Collection.pm
lib/AI/Categorizer/Collection/DBI.pm
lib/AI/Categorizer/Collection/Files.pm
lib/AI/Categorizer/Collection/InMemory.pm

README  view on Meta::CPAN

    For the usage details, please see the documentation of each individual
    module.

FRAMEWORK COMPONENTS
    This section explains the major pieces of the "AI::Categorizer" object
    framework. We give a conceptual overview, but don't get into any of the
    details about interfaces or usage. See the documentation for the individual
    classes for more details.

    A diagram of the various classes in the framework can be seen in
    "doc/classes-overview.png", and a more detailed view of the same thing can
    be seen in "doc/classes.png".

  Knowledge Sets

    A "knowledge set" is defined as a collection of documents, together with
    some information on the categories each document belongs to. Note that this
    term is somewhat unique to this project - other sources may call it a
    "training corpus", or "prior knowledge". A knowledge set also contains some
    information on how documents will be parsed and how their features (words)
    will be extracted and turned into meaningful representations. In this sense,
    a knowledge set represents not only a collection of data, but a particular

lib/AI/Categorizer.pm  view on Meta::CPAN

module.

=head1 FRAMEWORK COMPONENTS

This section explains the major pieces of the C<AI::Categorizer>
object framework.  We give a conceptual overview, but don't get into
any of the details about interfaces or usage.  See the documentation
for the individual classes for more details.

A diagram of the various classes in the framework can be seen in
C<doc/classes-overview.png>, and a more detailed view of the same
thing can be seen in C<doc/classes.png>.

=head2 Knowledge Sets

A "knowledge set" is defined as a collection of documents, together
with some information on the categories each document belongs to.
Note that this term is somewhat unique to this project - other sources
may call it a "training corpus", or "prior knowledge".  A knowledge
set also contains some information on how documents will be parsed and
how their features (words) will be extracted and turned into
meaningful representations.  In this sense, a knowledge set represents