计算机应用与软件2012，Vol.29Issue(5)：90-94,5.
WSAM:互联网 UGC 文本主观观点挖掘系统
WSAM: AN INTERNET TEXT UGC SUBJECTIVE ATTITUDE MINING SYSTEM
摘要
Abstract
The information about subjective attitude of users contained in UGC (User Generated Content) of internet is much valuable for user behaviour analysis and user demand analysis. In this paper we design an internet text UGC subjective attitude analysing system, WSAM, based on nature language comprehension. This system can mine the objects attended to and the subjective components, all contained in subjective attitude of users. The UGC phenomena in internet and the reason they generated are analysed in the paper? And four main types of subjective attitude of users in text UGC are concluded. During the process of mining subjective attitude of users, we convert the procedure of subjective attitude mining into the procedures of recognising the object attended to by subjective attitude in sentence and determining the subjective components. The algorithm uses the maximum entropy classifier to mine subjective attitude of users in combination with relative features in regard to lexical and structural classes. Experiments validate that the algorithm adopted by WSAM system is good in performance, and the system can be extended easily to related applications such as opinion mining with preferred good results as well.关键词
用户生成内容/UGC/自然语言处理/情感分析Key words
User generated content/ UGC/ Nature language processing/ Opinion mining分类
信息技术与安全科学引用本文复制引用
费仲超,朱鲲鹏,魏芳..WSAM:互联网 UGC 文本主观观点挖掘系统[J].计算机应用与软件,2012,29(5):90-94,5.基金项目
上海市博士后项目资助(10R21421900). （10R21421900）
