Statistical Classification of Scientific Publications

Article type: Research Article

Authors: Balys, Vaidas | Rudzkis, Rimantas

Affiliations: Vilnius University Institute of Mathematics and Informatics, Akademijos 4, LT-08663 Vilnius, Lithuania, E-mail: rudzkis@ktl.mii.lt

Abstract: The problem of automatic classification of scientific texts is considered. Methods based on statistical analysis of probabilistic distributions of scientific terms in texts are discussed. The procedures for selecting the most informative terms and the method of making use of auxiliary information related to the terms positions are presented. The results of experimental evaluation of proposed algorithms and procedures over real-world data are reported.

Keywords: statistical classification, probabilistic distribution, parametric estimation, auxiliary information, informative terms

Journal: Informatica, vol. 21, no. 4, pp. 471-486, 2010