A novel Chinese text topic extraction method based on LDA
Qihua Liu · 2015
This paper proposed a novel Chinese text topic extraction method based on Latent Dirichlet Allocation model. This method was practiced in CCL, an authoritative Chinese corpus, to extract topics for its nine categories. Our results exhibit LDA has better performance in precision rate than any other comparable techniques.