维吾尔语意见挖掘关系抽取研究

Research on relation extraction of opinion mining based on Uyghur

在分析维吾尔语词性规则和语法特征的基础上,以维吾尔语评论性语句为研究语料,提出了一种基于Bootstrapping算法的意见挖掘关系抽取方法。在每一次迭代过程中,根据改进的评分公式选取最优模式抽取主题词-意见词对;迭代结束后,对于主题-意见词对为空的评论语句,使用最近匹配算法抽取主题-意见词对;用并联模式和否定模式对抽取的主题-意见词对进行扩展和修正。关系抽取的最终目标是为每一个评论性语句建立一个或多个二元组<主题词,意见词>,并使主题词和意见词一一对应。实验结果表明了该方法在关系抽取上的有效性。

On the basis of analyzing the Uyghur part-of-speech rules and grammatical characteristics, a relation extraction met- hod of opinion mining based on Bootstrapping algorithm is proposed, which take Uyghur comment sentences as the research cor- pus. In each iteration process, the optimal patterns are selected to extract topic-opinion pairs according to the improved score for- mulas. After the iteration, for the comment sentences that topic-opinion pairs are empty, the nearest matching algorithm is used to extract topic-opinion pairs. Finally, paralleling model and negation model are introduced to expand and amend topic-opinion pairs. The ultimate goal of relation extraction is to establish one or more tuples ~topic, opinion~ for every comment sentence, and make the topic word correspond to the opinion word. Experimental results show the effectiveness of the proposed method in relation extraction.