Emotion models for textual emotion classification
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Emotion models for textual emotion classification
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Journal of Physics: Conference Series
ISBN
—
ISSN
1742-6596
e-ISSN
—
Number of pages
6
Pages from-to
—
Publisher name
Institute of Physics Publishing
Place of publication
Bristol
Event location
University of California, Berkeley
Event date
Aug 3, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—