Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/65969

TitlePredicting performance problems through emotional analysis
Author(s)Martins, Ricardo
Almeida, José João
Henriques, Pedro Rangel
Novais, Paulo
KeywordsEmotion analysis
Machine learning
Natural processing language
Issue date2018
PublisherSchloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH
JournalOASIcs: OpenAccess Series in Informatics
Abstract(s)In the cartoons, every time a character is nervous he/she begins to count to ten to keep calm. This is a technique, among hundreds, that helps to control the emotional state. However, what would be the impact if the emotions would not be controlled? Are the emotions important in terms of impairing the ability to perform tasks correctly? Using a case study of typing text, this paper is about a process to predict the number of writing errors from a person based on the emotional state and some characteristics of the writing process. Using preprocessing techniques, lexicon-based approaches and machine learning, we achieved a percentage of 80% of correct values, when considering the emotional profile on the writing style.
TypeConference paper
URIhttp://hdl.handle.net/1822/65969
ISBN9783959770729
DOI10.4230/OASIcs.SLATE.2018.19
ISSN2190-6807
Publisher versionhttps://drops.dagstuhl.de/opus/volltexte/2018/9277/pdf/OASIcs-SLATE-2018-19.pdf
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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