倾向性文本的概念图过滤技术的研究

The Research of Conceptual Graphs Filtering Technology for Tendency Text

本文提出一种基于概念图和简单语义分析相结合的文本过滤技术.利用概念图知识表示方法定义文本中概念间的语义倾向关系,把文本过滤问题转换成基于概念图的语义匹配问题.在使用概念图匹配推理中,利用敏感词汇分类和词语的褒贬性,有效简化过滤的匹配处理.经实际应用表明,基于概念图的倾向性文本过滤方法可以有效的识别和过滤倾向性文本信息.

This paper proposes a novel method of combination of conceptual graphs and simple semantic analysis, to solve the problem of low recall and precision rates. Using the formal of conceptual graphs to define the semantic orientation relationships of concepts in the text, and convert text filtering problem into conceptual graphs-based semantic matching problem. In order to simplify the process, reasoning matches with conceptual graphs on the basis of sensitive classification and words of part-of-speech. Practical application shows that the method can effectively identify and filter tendentiousness text message.