Detail publikačního výsledku

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

CERVENEC, R.; BURGET, R.

Originální název

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

Anglický název

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

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

image processing, image classification, pattern recognition

Klíčová slova v angličtině

image processing, image classification, pattern recognition

Autoři

CERVENEC, R.; BURGET, R.

Rok RIV

2012

Vydáno

04.02.2011

ISBN

978-80-214-4231-3

Kniha

6th International Conference on Teleinformatics - ICT 2011

Strany od

174

Strany do

178

Strany počet

5

BibTex

@inproceedings{BUT36760,
  author="Radek {Červenec} and Radim {Burget}",
  title="Emotion Recognition from Czech Text Using a Lexical Database and Evolutionary Feature Selection",
  booktitle="6th International Conference on Teleinformatics - ICT 2011",
  year="2011",
  number="1",
  pages="174--178",
  isbn="978-80-214-4231-3"
}