Research on BERT-based deep multilayer fusion Chinese short text classification method

Hao Wang; Xianghe Meng; Yugang Dai; Yuezhou Zhang; Jiaxin Wang; Xue Bai; Mengdi Ma; Xiangzhen He

doi:10.1117/12.3038156

22 August 2024 Research on BERT-based deep multilayer fusion Chinese short text classification method

Hao Wang, Xianghe Meng, Yugang Dai, Yuezhou Zhang, Jiaxin Wang, Xue Bai, Mengdi Ma, Xiangzhen He

Proceedings Volume 13228, Fifth International Conference on Computer Communication and Network Security (CCNS 2024); 1322804 (2024) https://doi.org/10.1117/12.3038156
Event: Fifth International Conference on Computer Communication and Network Security (CCNS 2024), 2024, Guangzhou, China

Abstract

The categorization of brief Chinese texts, a critical area for extracting insights from data with limited information content, presents unique challenges such as limited word count, ambiguity, and non-standardized information. These factors complicate the extraction and representation of textual features. This study introduces the BERT-based BRLC (BERT Recurrent Layer Composition) model, customized for brief text categorization assignments. The model employs BERT as its foundation, utilizing the Transformer architecture to encode input text and produce a semantically rich vector representation. The BRLC component then captures both global and local sequential features of the text, culminating in classification outcomes through a non-linear transformation process. Evaluated against contemporary deep learning models, the BRLC model demonstrates superior classification performance and efficiency. Utilizing the THUNews dataset, our model attains a precision level of 94.92%, outperforming the original BERT by 2.19%. Comparative experiments confirm the BRLC model's effectiveness in enhancing the accuracy of short text classification tasks.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hao Wang, Xianghe Meng, Yugang Dai, Yuezhou Zhang, Jiaxin Wang, Xue Bai, Mengdi Ma, and Xiangzhen He "Research on BERT-based deep multilayer fusion Chinese short text classification method", Proc. SPIE 13228, Fifth International Conference on Computer Communication and Network Security (CCNS 2024), 1322804 (22 August 2024); https://doi.org/10.1117/12.3038156

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