White Paper: Automated text categorization

Thanks to the soaring increase of information available online, automated text categorization is fast becoming a key technology for intelligence management for
companies, both internally and externally. Yet it remains a complex scientific and technical domain demanding expert knowledge of text and language processing technologies.

This white paper aims to explain the objectives, operating methods and advantages of automated categorization within competitive intelligence activities.
It presents Digimind’s approach in creating the technology behind Digimind Categorizer.

It is important to emphasize that this white paper focuses on the categorization of information for the purposes of competitive intelligence. Indeed an automated categorization algorithm is of little interest in itself but is useful for handling a certain type of information. For example, an algorithm may be excellent at processing spam, yet completely inapt at classifying competitive intelligence information.

"Automated Text Categorization"

• Table of Contents
• Automated categorization: state-of-the-art technology
  • What is automated categorization?
  • Existing categorization technologies
    • bayesian networks
    • decision trees
    • the k nearest neighbors
• Digimind Categorizer
  • Description of the digimind categorizer module
  • Digimind Categorizer joins the ranks of the world’s best technologies
• Automated Categorization for competitive intelligence
  • Categorization & its contribution to competitive intelligence
  • Analyze competitor strategy using automated categorization
  • How digimind evolution applies the technology