Detail publikačního výsledku

Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction

CERVENEC, R.; BURGET, R.

Originální název

Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction

Anglický název

Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

text processing, emotions, semantics, artificial inteligency

Klíčová slova v angličtině

text processing, emotions, semantics, artificial inteligency

Autoři

CERVENEC, R.; BURGET, R.

Rok RIV

2012

Vydáno

20.01.2011

ISSN

1213-1539

Periodikum

Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)

Svazek

2011

Číslo

1

Stát

Česká republika

Strany od

1

Strany do

7

Strany počet

7

BibTex

@article{BUT50891,
  author="Radek {Červenec} and Radim {Burget}",
  title="Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction",
  journal="Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)",
  year="2011",
  volume="2011",
  number="1",
  pages="1--7",
  issn="1213-1539"
}