Search results for "dist:AI-Categorizer"
AI::Categorizer - Automatic Text Categorization
"AI::Categorizer" is a framework for automatic text categorization. It consists of a collection of Perl modules that implement common categorization tasks, and a set of defined relationships among those modules. The various details are flexible - for...
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Learner - Abstract Machine Learner Class
The "AI::Categorizer::Learner" class is an abstract class that will never actually be directly used in your code. Instead, you will use a subclass like "AI::Categorizer::Learner::NaiveBayes" which implements an actual machine learning algorithm. The ...
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Storable - Saving and Restoring State
This class implements methods for storing the state of an object to a file and restoring from that file later. In "AI::Categorizer" it is generally used in order to let data persist across multiple invocations of a program....
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Category - A named category of documents
This simple class represents a named category which may contain zero or more documents. Each category is a "singleton" by name, so two Category objects with the same name should not be created at once....
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Document - Embodies a document
The Document class embodies the data in a single document, and contains methods for turning this data into a FeatureVector. Usually documents are plain text, but subclasses of the Document class may handle any kind of data....
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
lib/AI/Categorizer/Collection/SingleFile.pm
KWILLIAMS/AI-Categorizer-0.09
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24 Mar 2007 02:39:15 UTC
AI::Categorizer::Hypothesis - Embodies a set of category assignments
A Hypothesis embodies a set of category assignments that a categorizer makes about a single document. Because one may be interested in knowing different kinds of things about the assignments (for instance, what categories were assigned, which categor...
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Collection - Access stored documents
This abstract class implements an iterator for accessing documents in their natively stored format. You cannot directly create an instance of the Collection class, because it is abstract - see the documentation for the "Files", "SingleFile", or "InMe...
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Experiment - Coordinate experimental results
The "AI::Categorizer::Experiment" class helps you organize the results of categorization experiments. As you get lots of categorization results (Hypotheses) back from the Learner, you can feed these results to the Experiment class, along with the cor...
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Learner::SVM - Support Vector Machine Learner
This class implements a Support Vector Machine machine learner, using Cory Spencer's "Algorithm::SVM" module. In lots of the recent academic literature, SVMs perform very well for text categorization....
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::KnowledgeSet - Encapsulates set of documents
The KnowledgeSet class that provides an interface to a set of documents, a set of categories, and a mapping between the two. Many parameters for controlling the processing of documents are managed by the KnowledgeSet class....
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Learner::KNN - K Nearest Neighbour Algorithm For AI::Categorizer
This is an implementation of the k-Nearest-Neighbor decision-making algorithm, applied to the task of document categorization (as defined by the AI::Categorizer module). See AI::Categorizer for a complete description of the interface....
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC