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Received:June 29, 2013 Revised:September 25, 2013
Received:June 29, 2013 Revised:September 25, 2013
中文摘要: 以有效分析和挖掘网络产品评论中的用户观点从而为消费者和商家均提供有价值的信息为目的,提出了网络产品评论挖掘的步骤和方法,并在用户产品评论分析的基础上,进一步对产品特征词的关注度和极性进行分析,实现了更加全面地产品评论挖掘。最后以iphone 4s为例对所提出的方法进行了实验,验证了该方法的可行性。
Abstract:To analyze and mining online product review effectively and provide valuable information to both consumers and companies, this article gives the steps and methods of online product review mining. Besides the traditional review analysis, the attention degree and polarity of characteristic words are given further to achieve the more comprehensive product review mining. At last take iphone 4s mobile for example to do the experiment to verify the given method, the result is consistent with the reality.
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基金项目:北京市教委2013年度人文社科面上项目(SM201310005002);北京市自然科学基金项目(9112001)
引用文本:
单晓红,杨柳.网络产品评论挖掘研究.计算机系统应用,2014,23(2):1-6
SHAN Xiao-Hong,Yang Liu.Research on Online Product Review Mining.COMPUTER SYSTEMS APPLICATIONS,2014,23(2):1-6
单晓红,杨柳.网络产品评论挖掘研究.计算机系统应用,2014,23(2):1-6
SHAN Xiao-Hong,Yang Liu.Research on Online Product Review Mining.COMPUTER SYSTEMS APPLICATIONS,2014,23(2):1-6