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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
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
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
De Stefani, L., Di Nunzio, G.M., Vezzaro, G. (2009). A Visualization Tool of Probabilistic Models for Information Access Components. In: Agosti, M., Borbinha, J., Kapidakis, S., Papatheodorou, C., Tsakonas, G. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2009. Lecture Notes in Computer Science, vol 5714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04346-8_66
Download citation
DOI: https://doi.org/10.1007/978-3-642-04346-8_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04345-1
Online ISBN: 978-3-642-04346-8
eBook Packages: Computer ScienceComputer Science (R0)