Statistical Classification of Scientific Publications
Copyright policy )Statistical Classification of Scientific Publications
Summary: 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.
- Vilnius University Lithuania
statistical classification, Classification and discrimination; cluster analysis (statistical aspects), informative terms, Learning and adaptive systems in artificial intelligence, probabilistic distribution, auxiliary information, parametric estimation
statistical classification, Classification and discrimination; cluster analysis (statistical aspects), informative terms, Learning and adaptive systems in artificial intelligence, probabilistic distribution, auxiliary information, parametric estimation
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
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