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MAL: multilevel active learning with BERT for Chinese textual affective structure analysis
Regular Papers | Updated：2025-07-02

    • MAL: multilevel active learning with BERT for Chinese textual affective structure analysis

      Enhanced Publication
    • MAL：基于BERT的多层次主动学习用于中文文本情感结构分析
    • “In the field of Chinese textual affective structure analysis, multilevel active learning (MAL) is introduced, which leverages deep textual information at both the sentence and word levels, taking into account the complex structure of the Chinese language. MAL comprehensively captures the Chinese textual affective structure (CTAS), significantly reducing annotation costs by approximately 70% and achieving more consistent performance compared to baseline methods.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 6, Pages: 833-846(2025)

    • DOI：10.1631/FITEE.2400242    

      CLC： TP311

    • Received：31 March 2024，

      Revised：2024-09-22，

      Published：2025-06

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  • Shufeng XIONG, Guipei ZHANG, Xiaobo FAN, et al. MAL: multilevel active learning with BERT for Chinese textual affective structure analysis[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(6): 833-846. DOI： 10.1631/FITEE.2400242.

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