Emotion and Associated Topic Detection for Course Comments in a MOOC Platform

Zhi Liu, Wenjing Zhang, Jianwen Sun, Hercy N.H. Cheng, Xian Peng, Sanya Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)

Abstract

Massive Open Online Course (MOOC) has been drawn much attention from learners and teachers through the world. MOOC offers a variety of interactive ways, in which the course comment panel is used for express students' opinions and feelings. These comments generally contain some learning problems, attitudes towards the course or the platform support, etc. The feedback information is beneficial for the exchange of ideas among teachers, learners and educational administrators. However, it is quite time-consuming to analyze these important opinions entirely by artificial reading. It is imperative that the MOOC needs the machine learning methods to detect the emotions and topics in text data. In this paper, we propose an application framework and design scheme of intelligent system for the emotion recognition and topic mining, aiming at conducting the intelligent and personalized learning analytics on MOOC. The purposes of the intelligent comment mining system include (1) predicting popularity level of each course, (2) obtaining emotion-topic feedbacks about content of courses for teachers to analyze and improve their teaching strategies, (3) obtaining emotion-topic feedbacks about platform support for administrators to improve user experiences in platform.

Original languageEnglish
Title of host publicationProceedings - 5th International Conference on Educational Innovation through Technology, EITT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages15-19
Number of pages5
ISBN (Electronic)9781509061389
DOIs
Publication statusPublished - Feb 1 2017
Externally publishedYes
Event5th International Conference on Educational Innovation through Technology, EITT 2016 - Tainan, Taiwan
Duration: Sep 22 2016Sep 24 2016

Publication series

NameProceedings - 5th International Conference on Educational Innovation through Technology, EITT 2016

Conference

Conference5th International Conference on Educational Innovation through Technology, EITT 2016
Country/TerritoryTaiwan
CityTainan
Period9/22/169/24/16

Keywords

  • course comments
  • emotion recognition
  • learning analytics
  • Massive Open Online Course (MOOC)
  • topic mining

ASJC Scopus subject areas

  • Computer Science Applications
  • Education

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