A Visualization Tool of Probabilistic Models for Information Access Components

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 Na¨ıve Bayes (NB) probabilistic models for Automated Text Categorization (ATC) and Information Retrieval (IR) useful to explore raw data and interpret results.