@INPROCEEDINGS{8725107,

  author={R. {Cobos} and F. {Jurado} and Á. {Villén}},
  booktitle={2019 IEEE Global Engineering Education Conference (EDUCON)}, 
 title={Moods in MOOCs: Analyzing Emotions in the Content of Online Courses with edX-CAS}, 
  year={2019},
  volume={},
  number={},
  pages={1467-1474},
  abstract={Nowadays, there is a great variety of approaches aimed at facilitating the effectiveness of the teaching and learning processes. Many of those approaches are based on specific Educational Technologies whose objective is to make the teaching and learning experiences as human as possible. Tools and techniques for the recognition and analysis of emotions in online courses, such as those for the adaptations and the personalization of these courses, are some examples of the aforementioned approaches. At UAM we have designed and developed a tool for extracting and analysing the emotions of our online courses, such as SPOCs and MOOCs. We call this tool edX-CAS, which is the acronym for “Content Analyser System for edX MOOCs”. In this paper, a detailed description of this Tool is presented and an interesting description of current research work in the area of Polarity analysis, Sentiment analysis or Opinion mining in online courses is explained.},
  keywords={computer aided instruction;educational courses;emotion recognition;teaching;online courses;teaching;learning processes;learning experiences;edX MOOCs;educational technologies;content analyser system;edX-CAS;emotion analysis;emotion recognition;Tools;Education;Videos;Feature extraction;Syntactics;Sentiment analysis;MOOC;sentiment analysis;opinion mining;natural language processing;polarity;subjectivity},
  doi={10.1109/EDUCON.2019.8725107},
  ISSN={2165-9567},
  month={April},}