摘要
存在于网上商城的大量的产品评论数量在以惊人的速度增长,并成为文本挖掘研究的一个新兴热点。由于中英文语言本身的不同,我们需要将汉语评论意见挖掘作为一个单独的领域来研究。在前人研究的基础上介绍了一种新的情感分类方法,第一次提出了将主观性意见语句分为以下三类:强极性主观性意见语句,依赖上下文语境的弱极性主观性意见语句,第三类主观性意见语句。这种方法使得用户每条发表的评论都被更准确的划分为褒义、贬义两类。
As the number of products reviews increase at a fast rate,the field of the opinion mining become a new hot spot.Because the Chinese language itself is different from English,need to make the Chinese Product Reviews Opinion mining as a separate field to research.This paper proposes a new research method of product reviews mining and make each user comments have been classified into positive or negative categories more accurately.This paper firstly divides the subjective statements into the following three categories：strong polar context,weak polar context and the third subjective opinion statement.
出处
《工业控制计算机》
2011年第6期95-96,103,共3页
Industrial Control Computer
关键词
产品评论
意见挖掘
情感分类
product reviews
opinion mining
emotional classification
