An Improved Supervised-LDA Text Model and Its Application

Supervised-Latent Dirichlet Distribution Allocation (s-LDA) model cannot handle the multi-label problem and s-LDA model is not correct distribution in the classification model.The Supervised Labled-LDA(sl-LDA) model is proposed by adding a category label based on the response variable.It analyses s-LDA model and existed problem of topic classification,through verifying the classification accuracy of sl-LDA model,the paper classifies the sl-LDA model and s-LDA model.Experimental results in the Chinese and English news corpus show that English corpus classification performance is improved by about 3.80% and Chinese corpus is improved by about 1.77%.

# Computer engineering. Computer hardware # Computer software # s-lda model|response variable|news topic|topic model|category label

XU Tengteng,HUANG Hengjun (2018). "An Improved Supervised-LDA Text Model and Its Application". Jisuanji gongcheng.