DocumentCode
456456
Title
A Bayesian Approach for Text Classification
Author
Colace, Francesco ; De Santo, Massimo
Author_Institution
DIIIE, Universitd di Salerno, Fisciano
Volume
1
fYear
0
fDate
0-0 0
Firstpage
1323
Lastpage
1326
Abstract
The continuous increase of digital information requires technologies and techniques that can easily and quickly manage them. One of the most important and hot topic in this field is the introduction of techniques for text classification. The aim of this paper is the design and the implementation of a method for text classification. In particular we used an approach based on the use of Bayesian networks. In order to test our approach we use it on the standard Reuters database. The obtained results are very promising
Keywords
belief networks; classification; text analysis; Bayesian network; Reuters database; text classification; Bayesian methods; Databases; Expert systems; Machine assisted indexing; Probability distribution; Random variables; Technology management; Testing; Text categorization; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location
Damascus
Print_ISBN
0-7803-9521-2
Type
conf
DOI
10.1109/ICTTA.2006.1684572
Filename
1684572
Link To Document