%0 Journal Article
%T Appraisal expression extraction based on parse tree structure<br>基于句法树结构的情感评价单元抽取算法*
%A HUANG Yi-hua
%A PU Xiao-jia
%A YUAN Chun-feng
%A WU Gang-shan
%A <br>黄亿华
%A 濮小佳
%A 袁春风
%A 武港山
%J 计算机应用研究
%D 2011
%I 
%X Appraisal expression extraction is a fundamental task of sentiment analysis. Most of the previous methods for appraisal extraction are based on flat features such as syntax path which suffer from the noise in Chinese reviews. This paper proposed a phrase tree structure to present the appraisal expression pattern, as well as a method based on approximate convolution tree kernels to calculate the similarity between these structures. Then it used a similarity-based pattern matching method to extract the appraisal expressions. It conducted the experiments on Chinese product reviews, compared with the baseline which used the syntax paths as features, the precision was 13.4% higher and the recall was 9.2% higher. The experiment results showe the approach is efficient for appraisal expression extraction on Chinese product reviews.
%K sentiment analysis
%K appraisal expression
%K parse tree
%K convolution tree kernel
%K similarity calculation
%K product review<br>情感分析
%K 情感评价单元
%K 句法树
%K 卷积树核
%K 相似度计算
%K 商品评价
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=49438F68A18A45243AFC3F6B97EA86B3&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=4D34BE939E943921&eid=C18217A041B16776&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13