摘要
目前国内用户购买和使用大量不同手机产品。为帮助手机生产商识别用户评论的情感倾向、为其他潜在的手机用户提供手机产品购买建议,文中通过模块设计构建一个处理手机产品评论的智能信息系统,该系统用于挖掘和分析针对手机产品的评论信息。其中情感倾向分析是该系统的核心环节,因此文中研究并提出了一种基于条件随机场的针对手机产品的情感倾向识别方法,并通过采用多种实验手段寻找并验证该识别方法的有效性,从而完成对手机产品评论的高效、准确的自动识别。
Abstract: Nowadays, more kinds of mobile phone products are used by consumers in China. Use module design to build an intelligent in- formation system, which can help manufacturers recognize sentiment orientation of product reviews, and provide other consumers for sug- gestions on buying mobile phone products. This system has the function of mining and analyzing mobile phone product reviews, and the sentiment orientation is the key module of the system. Therefore, put forward a method based on conditional random fields to analyze sen- timent orientation of mobile phone product reviews. For accurate and efficient automatic recognition,many methods are adopted in the ex- periment and the efficiency of the method is verified.
出处
《计算机技术与发展》
2013年第12期22-25,29,共5页
Computer Technology and Development
基金
"国家级大学生创新创业训练计划"创新训练项目(201210248039
IPP5106)
国家自然科学基金资助项目(61272441)
关键词
手机产品
信息系统
条件随机场
情感倾向
mobile phone product
information system
conditional random fields
sentiment orientation