Optimization Methods in Emotion Recognition System
Emotions play big role in our everyday communication and contain important information. This work describes a novel method of automatic emotion recognition from textual data. The method is based on well-known data mining techniques, novel approach based on parallel run of SVM (Support Vector Machine...
Main Authors: | L. Povoda, R. Burget, J. Masek, V. Uher, M. K. Dutta |
---|---|
Format: | Article |
Language: | English |
Published: |
Spolecnost pro radioelektronicke inzenyrstvi
2016-09-01
|
Series: | Radioengineering |
Subjects: | |
Online Access: | http://www.radioeng.cz/fulltexts/2016/16_03_0565_0572.pdf |
Similar Items
-
Recognition of Emotions in Czech Newspaper Headlines
by: R. Burget, et al.
Published: (2011-04-01) -
TOWARDS EMOTION RECOGNITION IN TEXTS – A SOUND-SYMBOLIC EXPERIMENT
by: Velina Slavova
Published: (2019-08-01) -
Utilizing External Knowledge to Enhance Semantics in Emotion Detection in Conversation
by: Fuji Ren, et al.
Published: (2021-01-01) -
Deep Learning based Facial Emotion Recognition
by: Badhe Swayam, et al.
Published: (2022-01-01) -
Hierarchical Transformer Network for Utterance-Level Emotion Recognition
by: Qingbiao Li, et al.
Published: (2020-06-01)