%0 Journal Article
%T Survey on research of sentiment analysis<br>情感分析研究综述
%A ZHOU Li-zhu
%A HE Yu-kai
%A WANG Jian-yong
%A <br>周立柱
%A 贺宇凯
%A 王建勇
%J 计算机应用
%D 2008
%I 
%X With the rapid growth of the Web text data, mining and analyzing these text data, especially the online review data posted by the users, can greatly help better understand the users' consuming habits and public opinions, and plays an important role in decision-making for the enterprises and the government. This survey first introduces the motivation, research problems and goals of sentiment analysis, and presents some basic technologies used in sentiment analysis. It then describes one of the major tasks in sentiment analysis, subjective sentence detection, by reviewing and analyzing some recent work in this area. Next, it focuses on another important task in sentiment analysis, opinion classification, and discusses two leading feature extraction techniques for opinion classification, sentimental word based and frequent pattern based methods. Furthermore, it also introduces several other relevant sentiment analysis problems. Finally, the paper summarizes the current status, remaining challenges, and future directions in the field of sentiment analysis.
%K sentiment analysis
%K survey
%K opinion classification
%K subjectivity detection
%K feature extraction<br>情感分析
%K 综述
%K 观点分类
%K 主观性识别
%K 特征抽取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=0DBB8F11EBF0F8703070705FEB3289B2&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=708DD6B15D2464E8&sid=37670E198ADCA666&eid=4632F66201B6AB53&journal_id=1001-9081&journal_name=计算机应用&referenced_num=8&reference_num=28