How to effectively extract the subjective information of a sentence, calculate the orientation of the subjective sentence, and analyze the fine-grained sentiment orientation, has become a hot research topic. A kind of analytical method was proposed based on sentiment words ontology, and rules were created through analyzing the semantic content of sentences. The 3-POS model was put forward to identify the subjective sentences, and the orientation value of a subjective sentence was calculated according to emotional vocabulary ontology and rules. The experimental results show that the accuracy of distinguishing and calculating the orientation of subjective sentences is 81.02 percent by using the proposed model.%如何有效提取句子的主观信息,计算主观性句子倾向性,并对其情感进行细粒度分析,成为一个热门的研究话题.提出了一种基于情感本体的主观性句子倾向性分析方法,分析句子的上下文语义关系,建立规则集.依据情感词汇本体和规则集,提出连续三词词类组合(3-POS)模型识别主观性句子,最后计算主观性句子倾向性值.实验结果表明,该模型对主观性句子的倾向性进行识别和计算的准确率达到81.02％.
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