重庆邮电大学学报（自然科学版）2016，Vol.28Issue(4)：503-510,8.DOI:10.3979/j.issn.1673-825X.2016.04.010
语义规则与表情加权融合的微博情感分析方法
Microblogging sentiment analysis method with the combination of semantic rules and emoticon weighting
摘要
Abstract
Current Chinese microblog sentiment analyses usually use emotional polarity classification result as evaluation standard.To improve the accuracy of the result,this paper considers the elements which may have influence on micro-blog sentiment as much as possible.On the basis of microblogging emotional words,emoticon information is additionally consid-ered for weighted processing,improving the emotional polarity classification result of microblogs which contain emoticons. Then semantic rules,including several common sentence rules and sentence relationship rules,are covered to make a better result of sentimental analyses of complex statements.Meanwhile,we calculate the score of each blog,which is judged by qualification rate.Finally,through Hadoop platform,10 000 sets of data were tested and verified the validity of the fusion algorithm.关键词
微博/情感分析/语义规则/微博表情Key words
microblog/sentiment analysis/semantic rules/emoticon分类
信息技术与安全科学引用本文复制引用
赵天奇,姚海鹏,方超,张俊东,张培颖..语义规则与表情加权融合的微博情感分析方法[J].重庆邮电大学学报（自然科学版）,2016,28(4):503-510,8.基金项目
国家自然科学基金（61471056）；江苏省科技计划项目（BY2013095-3-1，BY2013095-3-03） Foundation ItemsThe National Natural Science Foundation of China （61471056）；The Science and Technology Program of Jiangsu Province （）
