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Multi-factor evaluation of teaching sentiment analysis in the new era

In: Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024)

Author

Listed:
  • Yu Zhou

    (Shandong University of Science and Technology, College of Mathematics and Systems Science)

  • Chun Yan

    (Shandong University of Science and Technology, College of Mathematics and Systems Science)

Abstract

Teaching reform constitutes a crucial task faced by universities in the new era. This paper analyzes existing issues in online course teaching modes and proposes recommendations for improving these modes. The present study focuses on multifactor evaluation of course instruction, selecting six factors as research subjects from a dataset provided by Kaggle website. We employ sentiment analysis, semantic network analysis, as well as LSTM-based sentiment analysis to delve into implementing online course education from students’ perspective while uncovering their concerns and learning needs, ultimately offering relevant suggestions. The conclusions drawn herein possess certain reference value for advancing online education.

Suggested Citation

  • Yu Zhou & Chun Yan, 2024. "Multi-factor evaluation of teaching sentiment analysis in the new era," Advances in Economics, Business and Management Research, in: Radulescu Magdalena & Bootheina Majoul & Satya Narayan Singh & Abdul Rauf (ed.), Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024), pages 827-834, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-459-4_92
    DOI: 10.2991/978-94-6463-459-4_92
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