Optimization Methods in Emotion Recognition System

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dc.contributor.authorPovoda, Lukas
dc.contributor.authorBurget, Radim
dc.contributor.authorMasek, Jan
dc.contributor.authorUher, Vaclav
dc.contributor.authorDutta, Malay Kishore
dc.coverage.issue3cs
dc.coverage.volume25cs
dc.date.accessioned2016-09-19T08:40:28Z
dc.date.available2016-09-19T08:40:28Z
dc.date.issued2016-09cs
dc.description.abstractEmotions 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.en
dc.formattextcs
dc.format.extent565-572cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2016 vol. 25, č. 3, s. 565-572. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2016.0565en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/63202
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2016/16_03_0565_0572.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectCzechen
dc.subjectEmotion classificationen
dc.subjectEmotion detectionen
dc.subjectEmotion recognitionen
dc.subjectText miningen
dc.titleOptimization Methods in Emotion Recognition Systemen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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