电力信息与通信技术2024，Vol.22Issue(7)：27-34,8.DOI:10.16543/j.2095-641x.electric.power.ict.2024.07.04
一种多模块图注意力机制和词库构建的电力敏感数据识别算法
A Power Sensitive Data Recognition Algorithm With Multi-module Graph Attention Mechanism and Thesaurus Construction
摘要
Abstract
In the era of big data,there is a great risk of data sharing and fusion in the power industry. For this reason,this paper proposes a new text categorization algorithm based on multi-module graph attention mechanism. Firstly,the graph attention mechanism is combined with Transformer to introduce syntactic relations and use the graph attention mechanism to extract text features. Secondly,in order to increase the accuracy of sensitive word recognition and improve the recognition of sensitive words by the word separation tool,this paper proposes a new method for constructing sensitive word base. Experiments prove that the proposed method performs well in the sensitive text classification task and has good scalability at the same time.关键词
敏感数据/词库构建和扩展/智能识别和分类Key words
sensitive data/thesaurus construction and expansion/intelligent recognition and classification分类
信息技术与安全科学引用本文复制引用
朱红勤,余璟,王黎明,许洪华,马楠..一种多模块图注意力机制和词库构建的电力敏感数据识别算法[J].电力信息与通信技术,2024,22(7):27-34,8.基金项目
国网江苏省电力有限公司科技项目资助"电力调控数据安全监测及风险预警关键技术研究"(J2023109). （J2023109）
