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Description
  • Since the amount of information stored in the form of electronic text documents has been rapidly growing over the past few years, there is an increasing demand for tools enabling to automatically analyze these documents and benefit from their emotional content. This paper describes experiments concerned with an automatic analysis of emotions in Czech text. The selected method has some characteristics of hybrid approach to emotion recognition as it is not only based on machine learning but also utilizes a lexical database and derived domain dictionaries. A fundamental part of machine learning methods is training data set and therefore the creation of an emotional corpus is described as well. The purpose of this paper is to introduce implemented system, present and evaluate achieved results of classification of text documents into defined emotion classes.
  • Since the amount of information stored in the form of electronic text documents has been rapidly growing over the past few years, there is an increasing demand for tools enabling to automatically analyze these documents and benefit from their emotional content. This paper describes experiments concerned with an automatic analysis of emotions in Czech text. The selected method has some characteristics of hybrid approach to emotion recognition as it is not only based on machine learning but also utilizes a lexical database and derived domain dictionaries. A fundamental part of machine learning methods is training data set and therefore the creation of an emotional corpus is described as well. The purpose of this paper is to introduce implemented system, present and evaluate achieved results of classification of text documents into defined emotion classes. (en)
Title
  • Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction
  • Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction (en)
skos:prefLabel
  • Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction
  • Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction (en)
skos:notation
  • RIV/00216305:26220/11:PU91444!RIV12-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(FR-TI2/679), Z(MSM0021630513)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 203437
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU91444
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • text processing, emotions, semantics, artificial inteligency (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [2BD079B72CCB]
http://linked.open...i/riv/nazevZdroje
  • Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2011
http://linked.open...iv/tvurceVysledku
  • Burget, Radim
  • Červenec, Radek
http://linked.open...n/vavai/riv/zamer
issn
  • 1213-1539
number of pages
http://localhost/t...ganizacniJednotka
  • 26220
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