摘要
提出一种新的基于句法分析的方法可以提取出评价搭配。通过对大量的商品评论进行句法分析,得到了常用的评论模式集合。依靠这些模式对评价搭配进行抽取。同时,构建了一种映射集合,可以映射出隐式评价对象。时于评价对象的倾向性判别,通过hownet构建了情感种子词典,采用SO-PMI方法计算出其极性,并计算出极性强度。实验结果表明,该方法对于评价搭配的抽取和极性分析具有较好的精确率和召回率。
A new method is proposed to extract polarity collocation. Series of templates are generalized using syntactic analysis on lots of prod- uct reviews. Then polarity collocation is extracted via the templates. In order to get implicit comment target, a mapping of comment is built tar- geting onto reviews. At the same time, a seed dictionary is built based on hownet, with SO-PMI used to compute the polarity and the strength. Experiment results show that the method can get a better precision and recall.
出处
《世界科技研究与发展》
CSCD
2013年第4期477-480,共4页
World Sci-Tech R&D
基金
科技部国家科技支撑计划重点项目(2011BAH25B04)资助
关键词
意见挖掘
评价搭配
倾向性判别
opinion mining
polarity collocation
sentiment analysis