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针对当前基于内容理解的网络不良信息过滤国内外研究现状,简要介绍了基于内容理解的不良信息过滤技术的相关概念和特点,并对基于内容理解的不良信息过滤关键工作中的主要算法和技术的基本原理进行了系统的探讨和分析,提出了一种基于改进Petri网分类器和ISODATA算法相结合内容理解模型。
Aiming at the current research status of unfair information filtering based on content comprehension at home and abroad, this paper briefly introduces the related concepts and features of bad information filtering based on content comprehension, and analyzes the main algorithms and technologies in the key work of content filtering based on bad information filtering The basic principle is discussed and analyzed systematically, and a content comprehension model based on improved Petri net classifier and ISODATA algorithm is proposed.