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Emotion Recognition from Czech Text Using a Lexical Database and Evolutionary Feature Selection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU90851" target="_blank" >RIV/00216305:26220/11:PU90851 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Emotion Recognition from Czech Text Using a Lexical Database and Evolutionary Feature Selection

  • Original language description

    The purpose of this paper is to study emotion recognition from Czech text based on a machine learning method. For that reason, a emotional corpus had to be created and manually annotated. Classification into defined negative, positive and neutral emotional classes was carried out by means of the SVM.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/FR-TI2%2F679" target="_blank" >FR-TI2/679: *Media-informatics system supporting advanced multimedia services</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    6th International Conference on Teleinformatics - ICT 2011

  • ISBN

    978-80-214-4231-3

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    174-178

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Dolní Morava

  • Event date

    Feb 2, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article