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.

Key words: irony detection;feature construction;microblog