刘梅彦,黄改娟. 面向信息内容安全的文本过滤模型研究[J]. 中文信息学报, 2017, 31(2): 126-131.
LIU Meiyan, HUANG Gaijuan. Research on Harmful Text Filtering Model Based on Semantic Analysis. , 2017, 31(2): 126-131.
面向信息内容安全的文本过滤模型研究
刘梅彦,黄改娟
北京信息科技大学 智能信息处理研究所,北京 100192
Research on Harmful Text Filtering Model Based on Semantic Analysis
LIU Meiyan, HUANG Gaijuan
Institute of Intelligence Information Processing, Beijing information Science and Technology University, Beijing 100192, China
Abstract：In this paper, we designed a content security orieuted filtering model. This model adopts two-tier filtering mode, and the first tier is a subject-based text filtering, and the second tier is a tendency text filtering for the relevant texts. With sentence as the basic processing unit, This model adopts dependency parsing to get the semantic framework. By combination with the semantic orientation based on HowNet with the semantic framework, the harmful information can be identified and filtered at a better accuracy and efficiency.
2017, Vol. 31 
