| 一种产品评论信息的意见挖掘技术研究 |
| |
| 引用本文： | 黄瑾娉,苏庭波.一种产品评论信息的意见挖掘技术研究[J].工业控制计算机,2011,24(6):95-96,103. |
| |
| 作者姓名： | 黄瑾娉 苏庭波 |
| |
| 作者单位： | 安徽工业大学计算机学院,安徽马鞍山,243032 |
| |
| 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...
|
| 关 键 词： | 产品评论 意见挖掘 情感分类 |
A Study of Opinion Mining About Products Reviews |
| |
| Abstract: | 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. |
| |
| Keywords: | product reviews opinion mining emotional classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
