Ensemble of Binary Classification for the Emotion Detection in Code-Switching Text

摘要：

　　This paper describes the methods for the DeepIntell who participated the task1 in the NLPCC2018.The task1 is to label the emotion in a code-switching text.Note that,there may be more than one emotion in a post in this task.Hence,the assessment task is a multilabel classification task.At the same time,the post contains more than one language,and the emotion can be expressed by either monolingual or bilingual form.In this paper,we propose a novel method of converting multi-label classification into binary classification task and ensemble learning for code-switching text with sampling and emotion lexicon.Experiments show that the proposed method has achieved better performance in the code-switching text task.

关键词： Multi-label classification Binary classification Sampling Emotion lexicon Ensemble learning

作者: Xinghua Zhang Chunyue Zhang Huaxing Shi

作者单位: Harbin Institute of Technology,Harbin,China DeepIntell Co.Ltd.,Harbin,China

会议类型: 国际会议

会议名称: 2018自然语言处理与中文计算国际会议(NLPCC2018)

会议地点: 呼和浩特

会议语种:英文

页码: 178-189

在线出版日期: 2018-08-26（万方平台首次上网日期，不代表论文的发表时间）