Stance Detection in Chinese MicroBlogs With Neural Networks

摘要：

　　In this paper,we presents a stance detection system for NLPCC-ICCPOL 2016 share task 4.Our Stance Detection System can determinate whether the author of Weibo text is in favor of the given target,against the given target,or neither.We exploit LSTMs model and the average F score of our system is 56.56%.In contrast to the traditional target/aspect sentiment,the given target may not be preserved in Weibo text.We model the task as a classification problem,exploiting LSTMs as the basic part of classifier.

作者: Nan Yu Da Pan Meishan Zhang Guohong Fu

作者单位: School of Computer Science and Technology,Heilongjiang University Harbin 150080,China

会议类型: 国际会议

会议名称: 第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)

会议地点: 昆明

会议语种:英文

页码: 1-8

在线出版日期: 2016-12-02（万方平台首次上网日期，不代表论文的发表时间）