Emotion models for textual emotion classification

2016 Joint IMEKO TC1-TC7-TC13 Symposium: Metrology Across the Sciences: Wishful Thinking?

Bruna, O.^1 ; Avetisyan, H.^1 ; Holub, J.^1

Department of Measurement, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, Prague 6

166 27, Czech Republic^1

关键词: Dimensional model;    Emotion classification;    Emotion modeling;    Emotion models;    Linguistic resources;    Product evaluation;    Proper modeling;    User experience;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/772/1/012063/pdf
DOI  :  10.1088/1742-6596/772/1/012063

来源: IOP

【 摘 要 】

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.