Sentiment Classification Based on AS-LDA Model

Jiguang Liang, Ping Liu, Jianlong Tan, Shuo Bai
2014 Procedia Computer Science  
We address the task of sentiment classification -identification of the polarity of the subjective document in this paper. We introduces a sentiment classification method called AS LDA. In this model, we assume that words in subjective documents consists of two parts: sentiment element words and auxiliary words which are sampled accordingly from sentiment topics and auxiliary topics. Sentiment element words include targets of the opinions, polarity words and modifiers of polarity words.
more » ... tal results demonstrate that our approach outperforms Latent Dirichlet Allocation (LDA).
doi:10.1016/j.procs.2014.05.296 fatcat:qyedae2zung5tc2d2m4q62cope