License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.SLATE.2018.19
URN: urn:nbn:de:0030-drops-92773
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9277/
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Martins, Ricardo ; Almeida, José João ; Henriques, Pedro Rangel ; Novais, Paulo

Predicting Performance Problems Through Emotional Analysis (Short Paper)

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OASIcs-SLATE-2018-19.pdf (0.4 MB)

Abstract

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.

BibTeX - Entry

@InProceedings{martins_et_al:OASIcs:2018:9277,
  author =	{Ricardo Martins and Jos{\'e} Jo{\~a}o Almeida and Pedro Rangel Henriques and Paulo Novais},
  title =	{{Predicting Performance Problems Through Emotional Analysis (Short Paper)}},
  booktitle =	{7th Symposium on Languages, Applications and Technologies  (SLATE 2018)},
  pages =	{19:1--19:9},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-072-9},
  ISSN =	{2190-6807},
  year =	{2018},
  volume =	{62},
  editor =	{Pedro Rangel Henriques and Jos{\'e} Paulo Leal and Ant{\'o}nio Menezes Leit{\~a}o and Xavier G{\'o}mez Guinovart},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9277},
  URN =		{urn:nbn:de:0030-drops-92773},
  doi =		{10.4230/OASIcs.SLATE.2018.19},
  annote =	{Keywords: emotion analysis, machine learning, natural processing language}
}

Keywords: emotion analysis, machine learning, natural processing language
Collection: 7th Symposium on Languages, Applications and Technologies (SLATE 2018)
Issue Date: 2018
Date of publication: 13.07.2018

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