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January 1, 2026International Journal of Computational Systems EngineeringOpen Access

An Improved BERT Model Feature Representation Method for Defect Text Classification in Power System

Ping Wang Ning Fu Fangkai Cai Shiliu Yang

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Key Points

To develop an improved BERT model for better feature representation in defect text classification within power systems.
Utilized an enhanced BERT model for text analysis.
Focused on defect-related datasets in power systems.
Employed machine learning techniques for classification tasks.
Achieved higher accuracy in defect classification using the improved model.
Demonstrated significant improvement over previous models in handling defect text.
Optimized feature representation resulted in better performance metrics.

Implication

An improved BERT model enhances defect text classification in power systems, suggesting better data analysis outcomes.

Abstract

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69d34e739c07852e0af9818e https://doi.org/10.1504/ijcsyse.2026.10077428

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