Search results for "module:AI::Categorize"
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::Classifier::Text - A convenient class for text classification
AI::Classifier::Text combines a lexical analyzer (by default being AI::Classifier::Text::Analyzer) and a classifier (like AI::NaiveBayes) to perform text classification. This is partially based on AI::TextCategorizer....
ZBY/AI-Classifier-0.03 - 11 Feb 2013 15:13:13 UTC
AI::Perceptron::Simple - A Newbie Friendly Module to Create, Train, Validate and Test Perceptrons / Neurons
This module provides methods to build, train, validate and test a perceptron. It can also save the data of the perceptron for future use for any actual AI programs. This module is also aimed to help newbies grasp hold of the concept of perceptron, tr...
ELLEDNERA/AI-Perceptron-Simple-1.04 - 17 Sep 2021 12:49:44 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::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
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::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::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
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::Learner::Weka - Pass-through wrapper to Weka system
This class doesn't implement any machine learners of its own, it merely passes the data through to the Weka machine learning system (http://www.cs.waikato.ac.nz/~ml/weka/). This can give you access to a collection of machine learning algorithms not o...
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Learner::Guesser - Simple guessing based on class probabilities
This implements a simple category guesser that makes assignments based solely on the prior probabilities of categories. For instance, if 5% of the training documents belong to a certain category, then the probability of any test document being assign...
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Learner::NaiveBayes - Naive Bayes Algorithm For AI::Categorizer
This is an implementation of the Naive Bayes 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. This module is now a w...
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Learner::DecisionTree - Decision Tree Learner
This class implements a Decision Tree machine learner, using "AI::DecisionTree" to do the internal work....
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC