Retired Document

Important: This sample code may not represent best practices for current development. The project may use deprecated symbols and illustrate technologies and techniques that are no longer recommended.

LSMSmartCategorizer

Last Revision:	Version 1.1, 2007-05-09
Build Requirements:	Mac OS X 10.5
Runtime Requirements:	Mac OS X 10.5

Latent Semantic Analysis (LSA) is the text-analysis technology that underpins the junk mail filtering of Mac OS X Mail. LSA enables you to analyze documents, classify them into categories, and find which words best characterize the meaning of those documents and categories. This sample intends to provide an example of basic usage of Latent Semantic Mapping (LSM) framework. In this sample application, you can provide categorized news feeds to train a map, then use it to categorize other feeds that the application has not seen before.