FILTERING OF INTERNET DOCUMENT BASED ON NATURAL LANGUAGE SEMANTIC ANALYSIS

Internet Document filtering is an important technique in the information security. The traditional strategy based on simple keywords matching often leads to low accuracy of filtering. This paper proposes the Semantic Template Algorithm based on natural language understanding, implements the filtration and classification of Internet documents. The experiment result shows that the algorithms are efficient.