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
Link To Document :
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