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

Yu Zhou () and Chun Yan ()
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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

A chapter in Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024), 2024, pp 827-834 from Springer

Abstract: 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.

Keywords: Teaching evaluation; Affective disposition analysis; Semantic network analysis; LSTM empirical analysis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-459-4_92

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