计算机应用研究2016，Vol.33Issue(10)：2914-2918,5.DOI:10.3969/j.issn.1001-3695.2016.10.008
基于语义的微博短文本倾向性分析研究
Research of micro-blog short text sentiment orientation analysis based on semantic
摘要
Abstract
Through a combining emotion thesaurus and semantic features of micro-blog,using space vector model to represent microblogging text,this paper proposed a method of microblogging text orientation analysis based on pattern matching and ma-chine learning.For the text after participle,it firstly extracted the sentiment key words,and then matched the key words and analyze several models to extract text phrases of sentiment evaluation,emotional phrases,micro-blog emoticons and other emo-tio-nal features characteristic constitute micro-blog sentiment characteristic sequence.Finally,it made use of SVM machine learning algorithms to get sentiment tendencies of micro-blog text.Evaluation results are compared with other paper,the experi-mental results show that this method is effective.关键词
微博/情感倾向/语义相似度/支持向量机Key words
micro-blog/sentiment orientation/semantic similarity/SVM分类
信息技术与安全科学引用本文复制引用
马力,刘笑,宫玉龙..基于语义的微博短文本倾向性分析研究[J].计算机应用研究,2016,33(10):2914-2918,5.基金项目
陕西省自然科学基础研究计划面上项目（2016JM6085）；西安市科技计划资助项目（CXY1437（8）） （）
