计算机与数字工程2012，Vol.40Issue(11)：52-54,131,4.
中文网络评论的IT产品特征挖掘及情感倾向分析
Mining Information Technology Product Features and Sentiment Orientation from Chinese Customer Reviews
摘要
Abstract
At mining product features and polarity of customer s opinion from Chinese online customer reviews, in order to help manufactures and service providers improve their IT products and services,and gain competitive advantages. This paper proposed an approach based on immune-based optimization algorithm which unsupervised feature extraction algorithm and supervised sentiment analysis technology to realize the summery information of customer reviews. And then ranked the work features and opinions based on customer attention strength. Several actual Internet products reviews were tested by an experimental model. Final results demonstrate the validity of the method.关键词
网络客户评论/IT产品特征/评论挖掘/情感倾向分析Key words
customer reviews/ IT product features/ reviews mining/ sentiment orientation analysis分类
信息技术与安全科学引用本文复制引用
吴丽华,冯建平,曹均阔..中文网络评论的IT产品特征挖掘及情感倾向分析[J].计算机与数字工程,2012,40(11):52-54,131,4.基金项目
2012年度海南省自然科学基金立项项目(编号:612121) （编号:612121）
2010年海口市重点科技项目(编号:2010071)资助. （编号:2010071）
