Publication detail

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

CERVENEC, R. BURGET, R.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

image processing, image classification, pattern recognition

Authors

CERVENEC, R.; BURGET, R.

RIV year

2011

Released

4. 2. 2011

ISBN

978-80-214-4231-3

Book

6th International Conference on Teleinformatics - ICT 2011

Edition number

1

Pages from

174

Pages to

178

Pages count

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"
}