Number of the records: 1  

Text document classification

  1. 1.
    SYSNO ASEP0411407
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JOstatní články
    TitleText document classification
    TitleKlasifikace textových dokumentů
    Author(s) Novovičová, Jana (UTIA-B)
    Source TitleERCIM News. - : European Research Consortium for Informatics and Mathematics - ISSN 0926-4981
    č. 62 (2005), s. 53-54
    Number of pages2 s.
    Languageeng - English
    CountryFR - France
    Keywordsdocument representation ; categorization ; classification
    Subject RIVBD - Theory of Information
    R&D ProjectsIAA2075302 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    KSK1019101 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationDuring the last twenty years the number of text documents in digital form is enormously growing in size. As a consequence the need to automatically organize and classify documents is of great practical importance. Text classification aims for partition of an unstructured set of documents into groups that describe the contents of the document. There are two main variants of text classification: text clustering and text categorization. A major characteristic of the problem is the high dimension of text data.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2006

Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.