任巨伟,杨 亮,吴晓芳,林 原,林鸿飞. 基于情感常识的微博事件公众情感趋势预测[J]. 中文信息学报, 2017, 31(2): 169-178.
REN Juwei, YANG Liang, WU Xiaofang, LIN Yuan, LIN Hongfei. Public Sentiment Trend Prediction of Microblog Events Based on Affective Commonsense Knowledge. , 2017, 31(2): 169-178.
基于情感常识的微博事件公众情感趋势预测
任巨伟,杨 亮,吴晓芳,林 原,林鸿飞
大连理工大学 信息检索研究室,辽宁 大连 116023
Public Sentiment Trend Prediction of Microblog Events Based on Affective Commonsense Knowledge
REN Juwei, YANG Liang, WU Xiaofang, LIN Yuan, LIN Hongfei
Information Retrieval Laboratory, Dalian University of Technology, Dalian, Liaoning 116023, China
Abstract：Microblog is a large and complicated public opinion platform on the Internet. In this paper, we demonstrate how microblogs can be used to predict real world public sentiment trends of events. Firstly, considering the special properties of microblogs, absence of context and sparseness of feature, we use the hyponymy relationship between words to do semantic extension for each microblog. Secondly, with the help of semantic feature and affective commonsense knowledge, we can decide the sentiment of each microblog through constructing a double-layer text classifier. Finally, public sentiment trend prediction of each event is performed by using time series sentiment analysis of microblogs. The experiment results show that our sentiment analysis method has a better performance than state-of-the art classification methods. Besides, the sentiment trends of events are consistent with the development of the real world situation to a large degree.
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