Open AccessKorean Document Classification Using Extended Vector Space Model
Author(s) -
Samuel Sang-Kon Lee
Publication year - 2011
Publication title -
jeongbo cheo'li haghoe nonmunji. b
Language(s) - Uncategorized
Resource type - Journals
ISSN - 1598-284X
DOI - 10.3745/kipstb.2011.18b.2.093
Subject(s) - word (group theory) , vector space model , dimension (graph theory) , value (mathematics) , artificial intelligence , computer science , space (punctuation) , document classification , vector space , extension (predicate logic) , weight , field (mathematics) , term (time) , natural language processing , pattern recognition (psychology) , mathematics , machine learning , combinatorics , physics , geometry , quantum mechanics , lie algebra , pure mathematics , programming language , operating system