View Recognition and Sentiment Analysis on Topic-based Microblog Comments
Chinese microblog sentiment classification has become increasingly useful to reveal the emotional tendency on specific event or policy.But the current study is limited to emotional polarity classification,failing to extend the emotional strength judgment.And general emotion dictionary is unable to effectively implement the sentiment classification of specific domain topics.To solve these problems,in this paper,we adopt the lexical semantic similarity calculation model,which is based on HowNet,to extend the existing emotion dictionary,and then propose the calculation model of emotional tendency value based on weighted emotional tendency.Besides,we introduce view recognition into emotion classification to filter non-opinion sentences to improve the efficiency of data processing and classification quality.Experimental results indicate that our approach outperforms the previous method significantly.
Topic-based microblog HowNet view recognition emotion dictionary emotional tendency calculation
Xiaoyun Wang Yuan Yuan
国内会议
杭州
英文
67-73
2015-11-11（万方平台首次上网日期，不代表论文的发表时间）