首页|面向中文文本的敏感信息识别方法研究

面向中文文本的敏感信息识别方法研究

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为了避免互联网上不良敏感信息的泛滥,创建干净、文明的用网环境,本文研究中文文本的敏感信息识别问题.基于调研分析,提出由敏感词库构建、可疑文本发现和敏感信息识别三阶段组成的识别框架,并给出每阶段的执行策略和方法.对基于Word2vec的敏感词库扩充方法进行了实验,结果表明该方法具有显著效果.
Research on Methods for Sensitive Information Detection in Chinese Text
To prevent the proliferation of inappropriate and sensitive information on the internet and to create a clean and civilized online environment,this article investigates the issue of sensitive information detection in Chinese text.Based on survey analysis,a detection framework composed of three stages-the construction of a sensitive word library,the discovery of suspicious text,and sensitive information detection-is proposed,along with strategies and methods for each stage.Experiments were conducted on a method of expanding the sensitive word library based on Word2vec,and the results showed that this method had significant effects.

Word2vecsensitive information detectionChinese text

董思源、王子扬、章坤、孙美凤

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扬州大学广陵学院,江苏扬州 225000

扬州市宝扬数码科技公司,江苏扬州 225000

Word2vec 敏感信息识别 中文文本

2023年江苏省大学生创新创业训练计划

202313987020Y

2024

软件
中国电子学会 天津电子学会

软件

影响因子:1.51
ISSN:1003-6970
年,卷(期):2024.45(3)
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