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A software framework for text mining algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F10%3A00169296" target="_blank" >RIV/62156489:43110/10:00169296 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A software framework for text mining algorithms

  • Original language description

    The framework provides the functionality for transforming the textual data into vector representation suitable for various machine learning or classification algorithms. Entire process is highly parametrized and produced results match the actual needs ofthe user. The user can for instance choose from three possible representations of weights of individual words in the vectors (Term Presence, Term Frequency, and TF-IDF weighting schema), three possible output formats (C5, ARFF, and generic format), andforce the algorithm to work with only certain dictionary, specify minimal word length and frequency.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Internal product ID

    TextMining 1.0

  • Technical parameters

    aplikace vytvořená v programovcím jazyce Perl

  • Economical parameters

    -

  • Owner IČO

    62156489

  • Owner name

    Mendelova univerzita v Brně