Emotion models for textual emotion classification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00305612" target="_blank" >RIV/68407700:21230/16:00305612 - isvavai.cz</a>

Výsledek na webu

<a href="http://iopscience.iop.org/article/10.1088/1742-6596/772/1/012063" target="_blank" >http://iopscience.iop.org/article/10.1088/1742-6596/772/1/012063</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1742-6596/772/1/012063" target="_blank" >10.1088/1742-6596/772/1/012063</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Emotion models for textual emotion classification

Popis výsledku v původním jazyce

This paper deals with textual emotion classification which gained attention in recent years. Emotion classification is used in user experience, product evaluation, national security, and tutoring applications. It attempts to detect the emotional content in the input text and based on different approaches establish what kind of emotional content is present, if any. Textual emotion classification is the most difficult to handle, since it relies mainly on linguistic resources and it introduces many challenges to assignment of text to emotion represented by a proper model. A crucial part of each emotion detector is emotion model. Focus of this paper is to introduce emotion models used for classification. Categorical and dimensional models of emotion are explained and some more advanced approaches are mentioned.

Název v anglickém jazyce

Emotion models for textual emotion classification

Popis výsledku anglicky

This paper deals with textual emotion classification which gained attention in recent years. Emotion classification is used in user experience, product evaluation, national security, and tutoring applications. It attempts to detect the emotional content in the input text and based on different approaches establish what kind of emotional content is present, if any. Textual emotion classification is the most difficult to handle, since it relies mainly on linguistic resources and it introduces many challenges to assignment of text to emotion represented by a proper model. A crucial part of each emotion detector is emotion model. Focus of this paper is to introduce emotion models used for classification. Categorical and dimensional models of emotion are explained and some more advanced approaches are mentioned.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Journal of Physics: Conference Series

ISBN

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ISSN

1742-6596

e-ISSN

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Počet stran výsledku

6

Strana od-do

—

Název nakladatele

Institute of Physics Publishing

Místo vydání

Bristol

Místo konání akce

University of California, Berkeley

Datum konání akce

3. 8. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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