摘要
在线评论中包含的用户对商品属性的偏好信息能够为企业制定商品研发和营销策略提供依据。提出了从在线评论中识别用户对商品属性偏好信息的框架和流程,结合现有的自然语言处理技术和数据挖掘方法,利用国内大型电子商务网站上用户对计算机商品的在线评论文本为研究对象,通过实例详细阐述了在线评论中用户对商品属性偏好信息的识别技术和方法,实证了本文提出的框架与流程的可行性和有效性。
The user preference for product attributes provides corporations reference information to establish their strategies for product de- velopment and marketing. The frame and process of recognizing user preference of the product attributes from the online product reviews, which makes use of technologies of natural language processing and data mining and some artificiality, are discnssed in this paper. Experi- mental results aimed at computers show that there are no significant differences between the scores for products got by the method proposed in this paper and given by the users. This demonstrates the feasibility and effectiveness of the proposed frame and process.
出处
《情报杂志》
CSSCI
北大核心
2012年第9期197-201,共5页
Journal of Intelligence
基金
国家自然科学基金项目"24小时知识工厂的知识共享活动模型与服务支持系统研究"(编号:71171153)的研究成果之一
关键词
用户评论
商品属性
用户偏好
电子商务
user review product attributes user preference e-Commerce
