摘要
分析微博情感倾向分析重要意义,针对微博文本特点,提出一种改进依存句法分析算法进行情感倾向分析。改进算法通过引入表情、标点等符号词的感情极性分析,采用基于中心情感词的语法距离分析词语情感极性,通过实例研究发现改进算法在微博情感倾向分析中效果明显。
Micro-blog sentiment orientation analysis＇s important signification is analyzed firstly.Then a new improved dependency parsing is proposed to analyze micro-blog sentiment orientation on the base of analyzing the peculiarity of microblog texts.This improved algorithm includes the sentiment orientation analysis of emoticons and punctuation,and analyze sentiment orientation based on the distance to the kernel emotional words in syntax structure.Experimentations show the algorithm has good applicability and robustness.
出处
《计算机与数字工程》
2017年第3期506-511,共6页
Computer & Digital Engineering
关键词
情感倾向分析
依存句法分析
中心情感词
微博
sentiment orientation analysis
dependency parsing
kernel emotional words
Micro-blog
