A Method of Document Sensitivity Calculation Based on Semantic Dependency Analysis

Sensitive text recognition has become an important technical means to maintain the harmonious development of network environment. This paper proposes a document sensitivity calculation method (SDC) based on semantic dependencies. This method associates the sensitivity of vocabulary with its semantic roles in sentences, and uses sequence annotation instead of dictionary matching. According to the semantic dependency relation, the sensitivity direction of the sentence is determined, and the sensitive vector of sentence and document level is obtained. A number of classifiers are used for comparison experiments at all levels of sensitive document sets. The experimental results show that the SVM classifier has achieved more than 80% F- measurement in all levels of documents, which is more than 10% higher than that of the control experiment. SDC algorithm reduces the propagation and diffusion of sensitive text by efficiently recognizing sensitive text.