Optimization Methods in Emotion Recognition System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU119782" target="_blank" >RIV/00216305:26220/16:PU119782 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.13164/re.2016.0565" target="_blank" >http://dx.doi.org/10.13164/re.2016.0565</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/re.2016.0565" target="_blank" >10.13164/re.2016.0565</a>
Alternative languages
Result language
angličtina
Original language name
Optimization Methods in Emotion Recognition System
Original language description
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) classifiers, text preprocessing and 3 optimization methods: sequential elimination of attributes, parameter optimization based on token groups, and method of extending train data sets during practical testing and production release final tuning. We outperformed current state of the art methods and the results were validated on bigger data sets (3346 manually labelled samples) which is less prone to overfitting when compared to related works. The accuracy achieved in this work is 86.89%for recognition of 5 emotional classes. The experiments were performed in the real world helpdesk environment, was processing Czech language but the proposed methodology is general and can be applied to many different languages.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Radioengineering
ISSN
1805-9600
e-ISSN
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Volume of the periodical
25
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
8
Pages from-to
565-572
UT code for WoS article
000383310900019
EID of the result in the Scopus database
2-s2.0-84996636869