Extracting Opinions Relating to Consumer Electronic Goods from Web Pages

被引：0
|
作者：
Nakamura, Taichi [1 ]
Maruyama, Hiroshi [1 ]
机构：
[1] Tokyo Univ Technol, Tokyo, Japan
来源：
KNOWLEDGE-BASED SOFTWARE ENGINEERING | 2006年 / 140卷
关键词：
Elicitation; Web pages; Co-occurrence; Text Mining;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a means of extracting the highly credible opinion ratings from Web pages. The principle behind our proposal is based on extracting the co-occurrence relation between a word representing a feature in the specification of a product or service produced by a company and a word showing a consumer's evaluation and then enlarging the dictionaries by registering additional words or phrases that appear in the co-occurrence relation.
引用
收藏
页码：206 / 209
页数：4
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