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The Influence of Preprocessing Parameters on Text Categorization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F07%3A00022183" target="_blank" >RIV/00216224:14330/07:00022183 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Influence of Preprocessing Parameters on Text Categorization

  • Original language description

    Results of a large scale study on mutual influence of preprocessing parameters in automated text categorization are presented and analyzed. These parameters include choice of tokenizer, feature selection, stemming, term weighing and data amount in combination with various Machine Learning algorithms.

  • Czech name

    Vliv parametrů předzpracování na kategorizaci textu

  • Czech description

    Výsledek studie o vzájemném vlivu parametrů předzpracování na automatickou kategorizaci textu. Sledované parametry zahrnují tokenizaci, výběr rysů, váhování, stemming a objem dat v kombinaci s několika metodami strojového učení.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2007

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Applied Science, Engineering and Technology

  • ISSN

    1307-4318

  • e-ISSN

  • Volume of the periodical

    4/2007

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    TH - THAILAND

  • Number of pages

    5

  • Pages from-to

    430-434

  • UT code for WoS article

  • EID of the result in the Scopus database