计算机应用研究2018，Vol.35Issue(4)：982-987,6.DOI:10.3969/j.issn.1001-3695.2018.04.005
基于关键句分析的微博情感倾向性研究
Microblog sentiment orientation analysis based on key sentence analysis
摘要
Abstract
This paper put forward a microblog sentiment orientation method SOAS based on the analysis of special sentences,it achieved sentiment analysis from sentence level to the document level.Firstly,it extracted the key sentences of microblog sentiment by key sentence extraction algorithm.This algorithm mainly considered 3 characteristics,namely location,keyword and the frequency characteristic of word and sentence frequency.Then,it computed the value of key sentences' sentiment ori entation by 6 emotion calculation rules.These rules were given by 7 kinds of collocation of part of speech which would affect sentiment orientation.The 7 kinds of collocation of part of speech were extracted by dependency parsing.Finally,it used the value of key sentences as weights to weight sum all key sentences to judge sentiment orientation.The experiments demonstrate that the SOAS improves the accuracy of sentiment analysis.Compared to similar algorithms,its accuracy is 10.55％ higher than that of others.It improves accuracy while having high efficiency.关键词
情感分析/倾向性分析/关键句/依存句法分析/观点挖掘Key words
sentiment analysis/orientation analysis/key sentence/dependence parsing/opinion mining分类
信息技术与安全科学引用本文复制引用
邵帅,刘学军,李斌..基于关键句分析的微博情感倾向性研究[J].计算机应用研究,2018,35(4):982-987,6.基金项目
国家自然科学基金资助项目(61203072) （61203072）
江苏省重点研发计划资助项目(BE2015697) （BE2015697）
