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Weakly supervised framework for aspect-based sentiment analysis on students' reviews of MOOCs
2020
IEEE Access
Students' feedback is an effective mechanism that provides valuable insights about teachinglearning process. Handling opinions of students expressed in reviews is a quite labour-intensive and tedious task as it is typically performed manually by the human intervention. While this task may be viable for small-scale courses that involve just a few students' feedback, it is unpractical for large-scale cases as it applies to online courses in general, and MOOCs, in particular. Therefore, to address
doi:10.1109/access.2020.3000739
fatcat:trl4ijilvzfj3ibr67m2jen5o4