Detail publikace

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

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

Jazyk

en

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.

BibTex


@inproceedings{BUT36760,
  author="Radek {Červenec} and Radim {Burget}",
  title="Emotion Recognition from Czech Text Using a Lexical Database and Evolutionary Feature Selection",
  annote="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.",
  booktitle="6th International Conference on Teleinformatics - ICT 2011",
  chapter="36760",
  howpublished="online",
  year="2011",
  month="february",
  pages="174--178",
  type="conference paper"
}