Version: 1.1

Posted: 2007-05-09

Build Requirements: Mac OS X 10.5

Runtime Requirements: Mac OS X 10.5

View Source Code:

Download Sample (“LSMSmartCategorizer.zip”, 74.0K)
Download Sample (“LSMSmartCategorizer.dmg”, 108.9K)


Description

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.

Document Revision History

Date Notes
2007-05-09N/A
2006-07-28Demonstrates the Latent Semantic Mapping (LSM) framework by automatically categorize RSS feeds.

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