Sentiment classification of MOOC courses by merging local context focus and bi-directional gated recurrent unit

Jiayong Jin; Yongquan Dong; Bugui He; Nan Zhou; Linke Yan

doi:10.1117/12.3055917

9 January 2025 Sentiment classification of MOOC courses by merging local context focus and bi-directional gated recurrent unit

Jiayong Jin, Yongquan Dong, Bugui He, Nan Zhou, Linke Yan

Author Affiliations +

Proceedings Volume 13486, Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024); 134860I (2025) https://doi.org/10.1117/12.3055917
Event: Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), 2024, Chengdu, China

Abstract

Existing MOOC review sentiment classification methods do not fully utilize the local context information associated with aspect, and they ignore the connection between local and global contexts, while resulting in modeled features that lack the information connection between aspect and contexts. In this paper, we propose a model that incorporates Local Context Focus (LCF) and Bi-Directional Gated Recurrent Unit (Bi-GRU). First, the BERT model is used to dynamically encode course reviews. Then, global semantic features are extracted using the Bi-GRU model to strengthen the connection between the preceding and following texts. Then, the LCF model based on multi-head self-attention is used to obtain local contextual features and splice them with global semantic features. Finally, the Softmax function is utilized to output the classification results. The experimental accuracies of the proposed model on the three MOOC course review datasets reach 97.96%, 96.76%, and 94.16%, respectively, which are improved by 0.70%, 0.42%, and 0.03% over the suboptimal baseline model. The proposed model significantly improves the effectiveness of MOOC course review sentiment classification, and provides a useful reference for the optimization and improvement of MOOC courses.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiayong Jin, Yongquan Dong, Bugui He, Nan Zhou, and Linke Yan "Sentiment classification of MOOC courses by merging local context focus and bi-directional gated recurrent unit", Proc. SPIE 13486, Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), 134860I (9 January 2025); https://doi.org/10.1117/12.3055917

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KEYWORDS

Data modeling

Performance modeling

Machine learning

Semantics

Code division multiplexing

Feature extraction

Education and training

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