Sensitive information filtering based on kernel method

LI Wen-bo1; SUN Le1; NUO Ming-hua1; WU Jian1

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Sensitive information filtering based on kernel method

更新时间：2024-10-14

- Sensitive information filtering based on kernel method
- Issue 4, Pages: 57-62(2008)
- 作者机构：
  
  1. 中国科学院软件研究所
  2. 中国科学院软件研究所北京100190 中国科学院研究生院
  3. ,北京,100049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.08
- Published：2008
- 稿件说明：
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LI Wen-bo1, SUN Le1, NUO Ming-hua1, et al. Sensitive information filtering based on kernel method[J]. 2008, (4): 57-62.
DOI：

LI Wen-bo1, SUN Le1, NUO Ming-hua1, et al. Sensitive information filtering based on kernel method[J]. 2008, (4): 57-62. DOI：

摘要

在深入分析敏感信息过滤任务的特点和难点的基础上

针对现有一般的信息过滤方法的不足

提出了一种利用敏感词的组合信息来改进过滤效果的思想。进而

研究了在核方法的框架下特征共现行为建模的原则并提出了复合ANOVA核来刻画特征组合行为。通过真实信息过滤环境中的测试评估

显示了此敏感信息过滤方法的有效性。

Abstract

Based on the discussion about the characteristics and the hardness of sensitive information filtering task

the idea of employing the combination of sensitive words to refine the filtering effect was proposed. The compound-ANOVA kernel to modeling the combination of features was introduced under the kernel method framework. According to the evaluation in the real settings

the method exhibits its superiority on the sensitive information filtering task.

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