c语言敏感词检测算法,基于文本内容的敏感词决策树信息过滤算法

摘要：

With the development of Internet,many negative effects come out as the exponential growth of various information resources,which means that a more secure and healthy network environment should be constructed right now.In order to solve this problem,this paper proposes a Sensitive Word Decision Tree for Information Filtering Algorithm (SWDT-IFA) for content-based Web pages. The algorithm takes no consideration of dictionary and word segmentation, builds the foundation on the sensitive words decision tree,lets the web text retrieval decision tree in form of data stream, records word frequency,regional information and sensitive level,and calculates the sensitive degree of the text to filter the sensitivity. Experimental results show that the SWDT-IFA algorithm has precision ratio and recall ratio,and low time complexity which can require the real-time demand of network environment.

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