• DocumentCode
    3734103
  • Title

    Emotions analysis techniques: Their application in the identification of criteria for selecting suitable Open Educational Resources (OERs)

  • Author

    H?ctor F G?mez A;Susana Arias Tapia;Pablo Vicente Torres;Javier S?nchez Guerrero;V?ctor Hern?ndez del Salto

  • Author_Institution
    Departamento de Ciencias de la Computaci?n y Electr?nica, Secci?n de Inteligencia Artificial, Universidad T?cnica Particular de Loja, Marcelino Champagnat S/N, 1101608, Ecuador
  • fYear
    2015
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    Emotion analysis is a key variable in textual analysis, namely that which focuses on detecting, separating or extracting information related to human attitudes and feelings-such as opinions or value judgments. This research paper aims to identify through a combination of techniques the human feelings and emotions of university students when selecting suitable (Open) Educational Resources in a Systems Engineering degree course. Although this research is only currently in its developmental stage, it provides some conclusions about the state of the art as well as details of future works that will be carried out in the field of emotion analysis in an online environment.
  • Keywords
    "Sentiment analysis","Hidden Markov models","Feature extraction","Cities and towns","Electronic learning","Open Educational Resources"
  • Publisher
    ieee
  • Conference_Titel
    Interactive Collaborative and Blended Learning (ICBL), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICBL.2015.7387644
  • Filename
    7387644