A Visualization Tool of Probabilistic Models for Information Access Components
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.
- 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.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