Advertisement

A Visualization Tool of Probabilistic Models for Information Access Components

  • Lorenzo De Stefani
  • Giorgio Maria Di Nunzio
  • Giorgio Vezzaro
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5714)

Abstract

Since massive collections of textual documents become more and more available in digital format, the organization and classification of these documents in Digital Library Management System (DLMS) becomes an important issue. Information access components of a DLMS, such as automatic categorization and retrieval components of digital objects, allow users to interact with the system in order to browse, explore, and retrieve resources from collections of objects. The demonstration presents a two-dimensional visualization tool of Naïve Bayes (NB) probabilistic models for Automated Text Categorization (ATC) and Information Retrieval (IR) useful to explore raw data and interpret results.

References

  1. 1.
    Di Nunzio, G.: Using Scatterplots to Understand and Improve Probabilistic Models for Text Categorization and Retrieval. International Journal of Approximate Reasoning (in press, 2009), http://dx.doi.org/10.1016/j.ijar.2009.01.002
  2. 2.
    Di Nunzio, G.M.: Visualization and Classification of Documents: A New Probabilistic Model to Automated Text Classification. Bulletin of the IEEE Technical Committee on Digital Libraries (IEEE-TCDL) 2(2) (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Lorenzo De Stefani
    • 1
  • Giorgio Maria Di Nunzio
    • 1
  • Giorgio Vezzaro
    • 1
  1. 1.Department of Information EngineeringUniversity of PaduaItaly

Personalised recommendations