【摘要】 反语识别已成为当前研究的热点,但当前对于中文反语识别研究报道较少。针对于此,主要研究面向社交网络的中文反语识别。在借鉴外文相关工作的基础上,结合中文语言和社交网络的特性,构建了六种特征,通过信息增益对比了各种特征有效性,并检测了不同分类器在该特征体系中的稳定性。实验结果表明,本文构建的特征在识别反语的任务中有显著的效果。更多还原

【Abstract】 Irony detection has drawn much attention in recent years.However,most studies are based on foreign languages.In this paper,we focus on the Chinese irony detection in microblog.Considering the characteristics of both Chinese language and social networks,we build a set of discriminating features for Chinese irony detection.Information gain is applied to these six features to compare their efficiency,and several classifiers are employed to test their stability.Experimental results prove the efficiency of the proposed features.更多还原