基于三支决策的中文微博观点句识别研究

Research on identificating Chinese micro-blog opinion sentence based on three-way decisions

微博观点句识别是对微博进行观点挖掘和舆情分析的基础,因此观点句识别的准确率对后续研究工作至关重要。提出了一种基于三支决策的中文微博观点句识别方法,采用支持向量机分类器,sigmoid函数计算某条微博属于观点句的概率,并将基于三支决策的中文微博观点句识别方法与传统支持向量机方法进行对比实验,实验结果表明,基于三支决策的中文微博观点句识别方法取得了很好的识别效果。

Micro-blog opinion sentence identification is the foundation for opinion mining and public opinion analysis. Therefore,the accuracy of identification of critical opinion sentences is very important for the follow-up research work. A Chinese micro-blog perspective sentence identification method based on three-way decisions.using support vector ma-chine classifiers and sigmoid function to caculate the probability of a micro-blog belonging to perspective sentence,and conducting a contrast experiment between Chinese microblog perspective sentence identificaition method based on three-way decisions and traditional support vector machine,it shows that three-way decisions has accepted a good identification effect.