基于句法分析与依存分析的评价对象抽取  

Opinion Object Extraction Based on the Syntax Analysis and Dependence Analysis

作　　者：王卫平[1] 孟翠翠[1] 

机构地区：[1]中国科学技术大学管理学院,合肥230026

出　　处：《计算机系统应用》2011年第8期52-57,共6页Computer Systems & Applications

摘　　要：随着互联网的不断普及,针对各种产品的评论也不断增多,这些评论中所包含的丰富信息,对制造商和消费者都极具分析价值。只有正确分析评价对象,意见挖掘的结果才会准确可信。在总结前人成果的基础上,针对网络上的客户评论,提出了一种新的评价对象抽取方法。该方法是基于ICTParser的句法分析与IR的依存关系分析的联合,采用似然值检验的方法筛选掉与主题不相关的候选评价对象。实验结果验证了该方法的有效性。As the Intemet becomes more widespread, the comments according to various products are also growing, these comments which contain abundant information are extremely analysis value for the manufacturers and consumers. Based on the correct analysis of opinion object, the results of opinion mining can be accurate and reliable. Based on the summarization of predecessors＇ achievements, according to the customer comments on the network, this paper proposes a new evaluation object extraction method. This method is based on the ICTParser syntactic analysis and IR dependence analysis, adopts the likelihood testing methods to screen irrelative candidate opinion objects. The experimental results preliminarily verified the validity of this method.

关 键 词：意见挖掘 句法分析 依存分析 评价对象 似然值检验 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]